Solid-State Thermal
Oscillation Control

Toroidal Peltier Architecture · Thermodynamic Computing

v1.0 · Design Base Mainnet Physics: Proven Prototype: Q4 2026

Chip primitive

Toroidal Ring

N Peltier junctions around a closed loop, driven by phase-shifted currents. A coherent thermal wave propagates as the computational medium.

Substrate

Bi₂Te₃ / Si

Topological-insulator legs on silicon back-end. ZT* ≈ 1.42 at wafer scale — geometric gain, no new materials.

ISA

NWO-ASM · stoc

Twelve native instructions. Free-energy optimiser routes any process-matrix program to a physical ring.

Financing

Base 8453

Single MetaStateSplitter shared with NWO-ASI & NWO-Metaverse. One deposit funds three products.

What this is

A chip that computes with heat, not against it.

Silicon logic has hit a thermal wall. Roughly forty per cent of a modern data-centre's grid input is spent moving heat away from switching transistors. STOC turns that inversion on its head: instead of fighting heat with plumbing, use heat as the computational medium. Peltier junctions arranged around a closed ring, driven by phase-shifted currents, support a coherent traveling thermal wave. Temperature becomes the state variable. The ring clocks itself.

This is not a Second-Law violation. STOC sits inside the Second Law — it maximises the coefficient of performance (COP) of a topologically closed thermodynamic cycle. The gain is geometric, not miraculous: a ring has no ends, so accumulated heat re-enters the useful loop instead of being dumped as waste.

Why now. Osaka QIQB brought a real ion-trap online through OQTOPUS Cloud in late 2025. Bi₂Te₃ nanowire ZT>2 was measured in 2008. NWO-ASM has three live QPU backends already. STOC is the fifth substrate — the one you can build on a tabletop.

01 · Flowchart

Physics of the STOC device

Horizontal information flow — inputs on the left, the toroidal ring in the middle, outputs on the right. The ring is 3D and can be rotated and zoomed. Hover the nodes for a quick summary; click for the underlying equations.

Input · A

Phase-shifted current

Iᵢ(t) = I₀·cos(2πi/N − ωt) — the drive waveform.

Input · B

Axial B-field

Permalloy core supplies B for Nernst-gated direction.

Input · C

Ambient bath

T_C reference at inner header, T_H at outer.

Input · D

Process matrix

PMX IR from NWO-ASM compiler.

mode m = 1

ω/2π ≈ 398 Hz

N segs 24 · tabletop

Output · α

T(θ,t)

Traveling wave amplitude & phase — read via IR array.

Output · β

COP

Coefficient of performance at m = 1 optimum.

Output · γ

Signed receipt

Ed25519 on-die + on-chain proof-of-inference.

Output · δ

USDC settlement

Base 8453 · shared splitter · atomic 35/35/30 + 15%.

Static functional nodes

The eight functions the ring performs

Peltier junction

The elemental unit: current I through an n-p junction pumps Π·I heat across the interface, with Π = S·T (Peltier coefficient).

PROVEN

Seebeck read-out

A ∇T gradient across the junction generates a voltage V = −S·∇T. Cross-terminals every 2π/N radians read T(θ).

PROVEN

Thomson bulk term

Current through a temperature gradient adds q_Th = −μ_Th·J·∇T where μ_Th = T·dS/dT. Small correction at 300 K.

PROVEN

Nernst gating

Axial B-field lifts spin degeneracy near the Bi₂Te₃ Dirac cone, gating wave direction. Clockwise for B·ẑ > 0.

PROVEN

Ring dispersion

ω(m) = m·Π·I₀ / (ρ·c_p·A·R). Linear in azimuthal number m — coherent multi-mode superposition allowed.

DESIGN

Maximum-COP mode

∂COP/∂m = 0 → m = 1 wins. A single traveling wave outperforms uniform drive and higher harmonics.

DESIGN

Effective ZT*

ZT* = ZT_bulk·(1+η_ring). η_ring ≈ 0.14 tabletop, 0.42 wafer scale. Geometric gain — no new material.

DESIGN

Thermal memory

Relaxation time τ = ρ·c_p·R²/κ. Bit encoded as wave-phase; refresh needed every τ. Off-chip PCM for persistence.

DESIGN

Scale comparison

Tabletop → industrial

Scale	N segs	Ring R	ω / 2π	η_ring	ZT*	Dies / wafer	Status
Tabletop	24	50 mm	≈ 400 Hz	0.14	1.14	1 unit	PLANNED Q4 2026
Hex tile	240	15 mm	≈ 12 kHz	0.22	1.22	50-100/mo	DESIGN 2027
Wafer demo	1,024	5 mm	≈ 1.6 MHz	0.32	1.32	200	DESIGN 2027
3D-IC pilot	128 × 8	1 mm	≈ 25 MHz	0.42	1.42	5,000	ROADMAP 2028
Industrial	10⁸ / die	5 μm	≈ 400 MHz	0.42	1.42	10⁶+ /yr	ROADMAP 2029+

02 · Architecture

Full system capability

A rainbow-gradient flowchart of the STOC stack — from raw materials at the bottom to compiled programs at the top. The gradient itself is a physical metaphor: information does not "forget" as it flows across the ring, because the closed loop keeps it entropic in a controlled way. Maxwell's demon sorts phase, not molecules.

The Maxwell's demon connection. In the ring, phase coherence replaces Landauer erasure as the dominant cost. Because the ring is topologically closed (S¹×S¹), a bit encoded as the phase of a traveling wave doesn't need to be erased to be over-written — it simply propagates around and is refreshed by the drive. The Landauer bound kT ln 2 still applies per erased bit, but STOC's steady-state bit-turnover per operation is dominated by ring dissipation, not by erasure, and can be made arbitrarily small by tightening m and lengthening τ_relax. Environmental positive effect: fewer erasures per computation → less waste heat per bit → smaller cooling load per FLOP.

Layer 09

Application

NWO-ASI · NWO-Metaverse · third-party programs written against NWO-ASM.

Layer 08

Runtime

Free-energy optimiser routes PMX IR to best-fit substrate at call time.

Layer 07

Compiler

.nwo → PMX IR → ring drive schedule. LLVM 17 for classical fall-back.

Layer 06

Substrate

stoc · CPU · GPU · qpu.ibm · qpu.origin · qpu.osaka · ecg_hive.

Layer 05

Verification

Ed25519 on-die + PoI re-verification + Base anchor. No claim without a signed receipt.

Layer 04

Ring stack

8 planar rings on 22 nm CMOS. TSVs couple layers → S¹×S¹ topology.

Layer 03

Peltier legs

n-Bi₂Te₂.₇Se₀.₃ · p-Bi₀.₅Sb₁.₅Te₃ · 40 nm × 40 nm × 900 nm each.

Layer 02

Sensors

128×128 IR microbolometer or InGaAs plane bonded on top. NETD 15 mK.

Layer 01

Materials

Si substrate · Cu headers · SiN passivation · permalloy core (prototype).

Production plan

Three fabs, two paths

Path A · MEMS pilot

6-inch wafers, 1 μm feature size, MBE for Bi₂Te₃ legs. Cycle 6-8 weeks. €25 k/wafer. Suitable for the 10-ring hex tile and small-batch delivery.

DESIGN · Q2 2027

Path B · Tier-1 3D-IC

22 nm CMOS + Bi₂Te₃ back-end + 8-layer stacking. Cycle 14-18 weeks. €90 k/wafer. Yield-limited by TSV planarity, currently ≈ 40 %.

ROADMAP · 2028

Materials · sourcing

Primary Bi₂Te₃ from Kurt J. Lesker or Sigma-Aldrich; permalloy from Magnetics. Half-Heusler ZrNiSn Te-free hedge for the outer ring. Recycled Te from EOL CdTe modules.

SOURCES PROVEN

Interdisciplinary tech stack

Discipline	Contribution	Layer
Solid-state physics	Onsager coefficients, Peltier/Seebeck/Thomson	03
Topology	S¹×S¹ (torus) via stacked planar rings	04
Materials science	Bi₂Te₃ epitaxy on Si (111) with Bi₂Se₃ buffer	03
Semiconductor fab	22 nm CMOS + back-end Bi₂Te₃ integration	03-04
Electrical engineering	128-ch PWM driver plane, current-sense H-bridges	04
Signal processing	DFT of T(θ) → complex spectrum	05
Compiler design	PMX IR → ring schedule lowering (NWO-ASM)	07
Cryptography	Ed25519 on-die + Base 8453 anchor	05
Distributed systems	Substrate contract + free-energy routing	08
Economics	MetaStateSplitter · 35/35/30 + 15% affiliate	09

03 · Metrics

Thermal state ontology & efficiency envelope

A closed thermodynamic system has a specific ontology: every state maps to a Fourier decomposition of T(θ) around the ring. Below are the four canonical metrics — entropy per cycle, power in vs out, COP envelope, and data-transfer efficiency — that STOC exposes to the runtime.

Entropy / cycle

≈ 0

Reversible limit · Carnot bound

Landauer / bit

1 kT ln 2

Only at erasure — bypassed in ring

COP @ m = 1

3.4 – 5.8

Depends on ΔT window

Efficiency vs CPU

6.7×

FLOP/W · projected wafer scale

Entropy production per drive cycle

ΔS_univ = Q_H/T_H − Q_C/T_C · vs mode m

Power in vs power out

W_in vs Q_C — the pump characteristic

Coefficient of performance envelope

COP = T_C / (T_H − T_C) · f(m,ω)

Load-vs-in/out efficiency

Load kernel · dispatch cost across substrates

Ontological structure of thermal states

Each state is a point in complex Fourier space

The ring's temperature field T(θ,t) decomposes uniquely into complex Fourier harmonics T̂(m,t) = ⟨T(θ)·exp(−imθ)⟩. For N = 128 segments the eight lowest harmonics (m = 0…7) carry the useful information — beyond that, the amplitudes drop below the IR NETD. Each harmonic is a complex number, so single-ring state space is 16-real-dimensional; 8-layer 3D-IC gives 128-D; a 10⁶-ring wafer gives 1.28×10⁸-D — comparable to a modern GPU's L2 but continuous and thermal.

Mode m	Meaning	Amplitude (typ.)	Role
0	Uniform DC offset	< 20 mK	Global bath drift — filtered out
1	Single traveling wave	0.5 – 2.5 K	Primary state carrier · clock
2	Standing double lobe	0.1 – 0.6 K	Even-parity data lane
3	Triple lobe	0.05 – 0.3 K	Odd-parity data lane
4…7	Higher harmonics	0.01 – 0.1 K	Encrypted / paranoid modes

05 · RISC-V STOC

RISC-V + STOC toroidal-donut architecture · full-width overview

Fig. 0-riscv · Toroidal donut view · RISC-V + STOC substrate integration · full-width overview

Seven RISC-V + STOC configurations

Paper II enumerates the seven distinct ways to combine the open-standard RISC-V ISA with the STOC toroidal Peltier ring. Each trades silicon area, thermal-oscillation fraction, and programming-model complexity differently. The vertical map below flows from the CPU-in-orbit at the top, out through 7 rainbow motherboard traces, down through 7 strings of technical detail, and converges into a prism at the bottom — from which the thermodynamic equations of each configuration emerge as spectral output.

Config A

RV core + STOC coprocessor

Custom-0 opcodes. Ring bonded post-fab. Simplest path. Silicon Q2 2027.

Config B

Peltier thermal L2 cache

SRAM L2 replaced with ring array. 10× lower dynamic P; +30% read latency.

Config C

STOC integer ALU

Ring-superposition adder. Phase-convolution multiplier. Zstoc-alu extension.

RISC-V

Config D

STOC persistent memory

τ-relaxation as non-volatile. Same telluride family as PCM. ∞ endurance.

Config E

STOC ring interconnect

Multi-core cache-coherence via phase pulses. Interconnect 10% → 1% of die.

Config G

Distributed RV+STOC swarm

Many small nodes coordinated by NWO-ASM free-energy routing.

Config F · center

Fully thermal RISC-V

Every pipeline stage = ring. Hz–MHz clock, μW power. Cryogenic + deep-space + rad-hard.

Configuration deep dive · click any node

Seven strings · seven pillars of detail

Each vertical string carries the technical anatomy of one configuration — physics, energetics, output, power, memory, economics, thermodynamics. Hover a node for a summary; click for the full schema, math, and output estimates.

The prism · convergence

Seven inputs. One spectrum.

The seven rainbow strings converge into a triangular prism. What emerges as the spectral output are the thermodynamic equations that govern each configuration — the underlying invariant physics that all seven share, refracted into their configuration-specific forms.

ΔS_univ ≥ 0 Π = S·T ω(m) = m·Π·I₀ / (ρ·c_p·A·R) T(θ,t) = T̄ + δT·cos(mθ − ωt) COP = T_C / (T_H − T_C) · f(m,ω) ZT* = ZT_bulk·(1 + η_ring) F ≥ k_BT ln 2 (Landauer)

Configuration economics · Paper II §7-8

Seven configurations · seven price / performance envelopes

Each of the seven RISC-V + STOC configurations sits at a different point in the price × integration × programming-model space. Below: per-configuration silicon cost (2026 EUR), thermal-oscillation fraction, additional NWO-ASM build effort, and expected 2030 SAM. All figures DESIGN unless marked LIVE.

Cfg 1 · Bonded coprocessor

€180 · LIVE prototype

ISA deltaZstoc.dispatch (1 opcode)

Osc fraction~5%

SAM 2030$0.9B

TargetEdge sensing · embedded

Cfg 2 · Sidecar SoC

€620 · DESIGN Q2 2027

ISA deltaZstoc.field / .fit (3 opcodes)

Osc fraction~15%

SAM 2030$1.4B

TargetWorkstation R&D

Cfg 3 · Fused core

€1,400 · DESIGN Q4 2027

ISA deltaFull Zstoc.* + Zq.ctrl

Osc fraction~35%

SAM 2030$0.8B

TargetInstruments · lab

Cfg 4 · Thermal fabric

€3,900 · ROADMAP 2028

ISA deltaAll + Zprov.commit

Osc fraction~55%

SAM 2030$0.5B

TargetRack-scale server

Cfg 5 · Cryogenic hybrid

€38,000 · ROADMAP 2029

ISA deltaAll + Zq extensions

Osc fraction~70%

SAM 2030$0.4B

TargetBounded-QPU control

Cfg 6 · Wafer-scale ring

€180,000 · ROADMAP 2029

ISA deltaAll + custom-1 opcode space

Osc fraction~85%

SAM 2030$0.2B

TargetNational lab · HPC

Cfg 7 · Fully thermal

€1.2M · HYPOTHESIS 2030+

ISA deltaCustom-2 + memristor-native

Osc fraction~100%

SAM 2030$0.1B (research)

TargetSovereign / space

Total 2030 SAM

$4.3B

Aggregate serviceable-addressable market across all seven configurations. Sensitivity: ±35% depending on which QPU vendor dominates the bounded-Hilbert-space regime.

Paper II §12-13 · Supply-chain risk analysis

Two concentrated risks · three hedges each

Risk 1 · Bi₂Te₃ tellurium concentration

60% of refined Te comes from China. Absent supply disruption is not an assumption we can rely on. Three hedges:

Hedge AHalf-Heusler ZrNiSn substitute · 30% ZT penalty for Cfgs 3/5/6

Hedge BRecycled Te from EOL CdTe photovoltaics · 30% below spot price

Hedge CNWO-ASM free-energy optimiser reroutes to CPU/GPU/QPU if STOC constrained

Risk 2 · RISC-V fab capacity

Advanced-node RISC-V fabs concentrate at TSMC (Taiwan), Samsung (Korea), and — from 2027 — Intel (US) and Rapidus (Japan). Three hedges:

Hedge A28 nm process node for Cfgs 1-3 (widely available)

Hedge BGlobalFoundries + SMIC as secondary sources

Hedge CMulti-fab dual-source contracts for Cfgs 4+ silicon

Paper II §11 · NWO-ASM build requirements

Precise build effort per configuration

Each configuration requires a specific set of NWO-ASM opcode additions, a runtime driver, and a substrate contract implementation. Below: build weeks and reference-code line count per config.

Cfgs 1-3 · Existing custom-0 opcode space

Config	Opcodes	Runtime	Weeks
Cfg 1	1 (Zstoc.dispatch)	Rust host bridge	3
Cfg 2	3 (Zstoc.field/.fit/.route)	Full driver + DMA queue	7
Cfg 3	4 + Zq.ctrl bridge	Kernel-space driver	12

Cfgs 4-7 · Extended opcode + custom-1/2

Config	Opcodes	Runtime	Weeks
Cfg 4	6 (all + Zprov.commit)	Ontology hook + Base 8453	18
Cfg 5	7 (all + full Zq.*)	Cryo-aware scheduler	28
Cfg 6	10 (custom-1)	Multi-die runtime	44
Cfg 7	16 (custom-2)	Memristor-native ISA	72

Configuration space · Paper II Figure 8

Thermal-oscillation fraction vs SAM 2030

DESIGN targets across seven configurations

Trade-off: more integration → smaller market, higher margin

Bonded coprocessor (Cfg 1) captures the largest market at the lowest integration level. Fully-thermal (Cfg 7) is a research configuration with the smallest immediate market but the highest strategic optionality.

Paper II · full analysis

Read the full research paper

Detailed math, per-config economics, market analysis ($4B SAM by 2030), supply-chain risk analysis (RISC-V fab + Bi₂Te₃ Te dominance), and precise NWO-ASM build requirements per configuration. Full physics, mathematical framework, and adoption path in §Paper & Podcast.

06 · STOC ΔT Harvest

Turn every ΔT into compute

The world already runs a giant, always-on temperature-gradient infrastructure. Refrigerators, air conditioners, chilled-water data centres, cold-chain trucks, LNG plants, EV battery loops, and semiconductor-fab cooling all maintain a ΔT round the clock. Today, that ΔT is pure overhead. STOC harvests it. Each cooled system simultaneously performs its native cooling function and becomes an edge thermodynamic-computing node under the NWO-ASM stoc substrate contract.

Cold side · data flow

Hot side · energy flow

B/W shimmer · data · cold-side · · rainbow shimmer · energy · hot-side

Ten physics nodes ring the central snowflake — the traveling thermal wave that STOC establishes on top of an existing cooling cycle. Cold-side nodes (left) show white/black data-flow shimmer; hot-side nodes (right) show rainbow energy-flow shimmer. Hover any node for a summary; click for the full physics, math, energy input/output, and scale-up details from tabletop to industrial.

Three canonical variants

From household plug-in to industrial wafer-stack

The framework partitions into three price/integration tiers. Each targets a different customer, uses different STOC configurations from Paper II, and requires different NWO-ASM build effort.

Variant I

Household · Cryo-Plug

€ 150-250 retail

Wall-outlet passthrough with embedded 24-segment STOC ring. Couples to fridge's existing ΔT via flexible copper heat pipes. No refrigerant handling, no compressor modification, any UL/CE-listed fridge is a target.

· Config A coprocessor
· SiFive E31 · Wi-Fi/Zigbee
· Anomaly.score kernels
· Smart-home routing
· Predictive maintenance
· Ships Q3 2027 Kickstarter

Variant II

Commercial · Native integration

€ 600-900 retail

Native 22 nm RV64GC SoC with L2 SRAM cache replaced by Peltier ring array. Fridge's cold interior acts as ideal cold-side sink. Compressor duty cycle phase-locked to ring drive at ω_lock = 2·ω_compressor / N.

· Config B thermal L2 cache
· Config D persistent memory
· Inventory tracking (IR + load-cell)
· Cold-chain anomaly scoring
· Customer kiosk inference
· Grocery pilot Q4 2027

Variant III

Industrial · Wafer-stack

€ 2,500 - 12,500

Wafer-scale 8-layer 3D-IC Peltier stack. Config-E ring interconnect for rack-scale coherence. For cryogenic applications (LNG, H₂), Config-F fully thermal RISC-V core operating at μW power in the deep-cold environment.

· Config E ring interconnect
· Config F fully thermal (cryo)
· Autonomous cold-chain logistics
· Zero-power secure data vault
· LNG / H₂ / air-separation
· Roll-out 2028-2029+

Ten cooling verticals

Aggregate TAM · $ 875 B by 2030

The STOC-cooling framework applies wherever a ΔT is maintained on purpose. Ten specific verticals from HVAC to LNG cryogenic, with total addressable market by 2030 in USD billions.

Economics

Per-unit BOM & margin across verticals

Aggregate 2030 revenue

€ 480 M

Gross · summed across verticals

Blended gross margin

84 %

Weighted by volume

Marketplace fees

2 %

On settled tx · Base 8453

5-yr IRR

~ 58 %

Deep-tech benchmark

Variant / Product	BOM €	MSRP €	GM %	Vol 2027	Vol 2030
I · Cryo-Plug (household retrofit)	72	199	64	5,000	1.2 M
II · Commercial fridge (native)	95	699	86	500	55 k
II · Commercial display case	140	1,299	89	300	28 k
III · Industrial reefer	480	3,499	86	50	4 k
III · LNG cryogenic node	1,200	12,500	90	—	150
HVAC retrofit board	65	549	88	—	24 k
Data-centre STOC card	320	2,499	87	—	5 k
EV BMS add-on	28	199	86	—	320 k

Per-unit economics across variants and verticals. BOM in 2026 EUR; MSRP includes NWO-ASM software subscription for first 3 years.

Supply-chain risk analysis

Fab exposure · Te dominance · OEM channel

Fabrication

Variant I is fully commodity: SiFive/Andes MCUs, Marlow Peltier modules, Toshiba H-bridges. No cutting-edge dependencies. Variants II/III inherit Paper II supply chain: TSMC/Samsung for advanced-node CMOS, SMIC/HH-Grace as sovereign hedges.

MITIGATED

Tellurium (Bi₂Te₃)

60% of refined Te is Chinese. Three hedges: (a) half-Heusler ZrNiSn Te-free substitute at 30% ZT penalty for Configs C/E/F; (b) recycled Te from EOL CdTe photovoltaics at 30% below spot; (c) NWO-ASM free-energy optimiser reroutes to CPU/GPU/QPU if STOC becomes materially constrained.

HEDGED

Appliance-OEM channel

Variant II depends on Whirlpool / Bosch / Haier / Samsung / LG / Electrolux distribution. 24-36 month product cycles, conservative silicon bets. Mitigation: license the reference design at low up-front cost; seed Variant I retrofit market first so ecosystem exists before OEMs commit.

CHANNEL RISK

Risk severity · high-rise view

Every risk from the Paper III register, ranked by probability × impact. Rainbow shimmer flows top-to-bottom on each bar showing continuous ecosystem hedging.

UL/CE certLOW

PLL lock lossLOW

Ring driftLOW

Water contam.MED

Te supplyMED

OEM channelMED

RegulatoryMED

Cold-chain compl.MED

Config F delayHIGH

EV OEM accessHIGH

LOWMEDIUMHIGH

Path to global thermal compute

Six-stage roadmap

From Q4 2026 Cryo-Plug prototype to 2029+ full cryogenic + industrial fab-out. Every stage aligns with an NWO-ASM release, a market-partner engagement, and a compute vertical unlock.

Q4 2026

Cryo-Plug prototype

Bench build against Whirlpool reference. First anomaly.score kernel via Config A opcodes.

PLANNED

Q2 2027

Cryo-Plug Kickstarter

500-unit run at €199. Open-source software; opt-in compute marketplace.

DESIGN

Q4 2027

Variant II grocery pilot

10-store regional chain. Native Peltier-L2 silicon in refrigerated display cases. Target ROI <24 months.

DESIGN

Q2 2028

Data-centre pilot

Tier-3 colocation partner. STOC rings in chilled-water manifolds. Edge compute as tenant SKU.

DESIGN

Q4 2028

HVAC + cold-chain

Rooftop-unit HVAC OEM + reefer container manufacturer. Two parallel silicon shuttles.

DESIGN

2029+

Cryogenic + industrial fab-out

LNG, H₂, air separation. Semi-fab process cooling. Pharma cold storage. Reference deployments.

ROADMAP

Paper III · full analysis

Read Paper III

Complete physics of computing atop a maintained cooling cycle, entropy accounting, 14-vertical integration matrix, Cryo-Plug BOM spec, industrial cold-chain node BOM, and risk register. Available in §Paper & Podcast.

07 · STOC Memristor

STOC Memristor Hybrid

The fifth element. Chua's 1971 memristor completed the electrical-circuit theory; STOC completes its thermal analogue. This page details the coupled Memristor × STOC hybrid cell — the physical unification of electrical charge/flux and thermal charge/flux state variables — with full technical parameters at every deployment scale, from bench prototype to wafer-scale industrial substrate.

Triangular configuration · defense · safety · analysis

Three sides · fifteen nodes · hover + click for detail

The STOC × Memristor hybrid substrate is analysed along three orthogonal axes. Each side of the triangle carries five technical nodes covering the safety envelope, the defense/isolation architecture, and the analysis/observability layer. Click any node for full parameters, electrical metrics, and the output-capacity chart.

🔥 DEFENSE · thermal-electrical isolation

❄ SAFETY · fault-tolerant envelope

📊 ANALYSIS · observability + telemetry

Electrical & technical parameters · all scales

Rainbow scale bands · bench → wafer

Every hybrid-cell parameter tracks its own scaling curve. Rainbow bands classify the seven operational scales from single-cell benchtop (T0 · magenta) through wafer-scale industrial deployment (T6 · red). All numbers are from Paper IV § 5-7 and cross-reference the coupled state-equations in Appendix A.

Scale	Cells	R_HRS	R_LRS	V_set	I_comp	ΔT_max	J_q max	ω_STOC	E_op	Endurance
T0 · Single cell	1	1 MΩ	1 kΩ	1.0 V	100 μA	10 K	2×10³ W/m²	10 Hz	5 pJ	10¹⁰
T1 · Bench (24 seg)	24	1 MΩ	1 kΩ	1.0 V	2.4 mA	10 K	2×10³ W/m²	10 Hz	120 pJ	10¹⁰
T2 · Compact (128)	128	800 kΩ	800 Ω	0.9 V	12.8 mA	12 K	4×10³ W/m²	30 Hz	640 pJ	10¹⁰
T3 · Rack (1,024)	1,024	500 kΩ	500 Ω	0.8 V	102 mA	15 K	8×10³ W/m²	100 Hz	5.1 nJ	10⁹
T4 · Wafer (10⁶)	1 M	200 kΩ	200 Ω	0.7 V	1 A (agg.)	20 K	2×10⁴ W/m²	1 kHz	5 μJ	10⁹
T5 · Multi-wafer (10⁸)	100 M	100 kΩ	100 Ω	0.6 V	100 A	30 K	5×10⁴ W/m²	10 kHz	500 μJ	10⁸
T6 · Industrial fab (10¹⁰)	10 G	50 kΩ	50 Ω	0.5 V	10 kA	50 K	10⁵ W/m²	100 kHz	50 mJ	10⁸

Scaling relations follow Paper IV §5.6 (Type VI unified M-S substrate). Endurance holds constant to T4, then degrades one order per 10× cell count due to wear equalisation across the fabric. Full derivations in Paper IV Appendix A.

Capacity projection · 2026 → 2032

Hybrid capacity vs memory growth curve

Left: STOC × Memristor hybrid capacity per deployment tier through 2032. Right: raw memory capacity per year of the same deployment showing the compound growth curve. Rainbow gradient encodes the seven scale tiers T0-T6.

Hybrid capacity by 2032 · per tier

Cells deployed · logarithmic scale

Memory capacity · 2026-2032

Aggregate deployed cells · exponential growth

Electrical circuit operations

Full circuit board · hover any block · click for detail

Every subsystem of the hybrid cell rendered as an interactive circuit-board schematic. Hover any coloured block for the summary; click for full electrical specification, waveforms, and coupled-dynamics description from Paper IV §2-3.

Market trends · 2026-2032

Memory capacity demand · TAM prognosis

Global memory capacity demand tracks AI training + edge inference growth. The STOC × Memristor hybrid unlocks non-volatile persistent memory at STOC energy budgets, addressing the top of the memory hierarchy where DRAM cannot scale further. Rainbow gradient encodes market segments; height encodes TB deployed per year.

Interconnected verticals · commercial · industrial · customer

Where the hybrid ships

The STOC × Memristor hybrid tech stack ships into eleven distinct market verticals, spanning commercial edge inference, industrial control planes, and the consumer-adjacent smart-appliance layer. Each vertical inherits the shared MetaStateSplitter on Base 8453 for revenue routing.

Commercial

Edge-AI inference accelerators

Non-volatile weights at STOC energy budgets. Model-serving with zero warm-up latency.

Config III · Layered M+S

Commercial

Cloud memory tier

Between DRAM and Flash. Petabyte-scale persistent memory with 10⁹ endurance.

Config IV · T-modulated MLC

Industrial

Autonomous plant controllers

State-preserving controllers survive power interruptions; last-known-good state recovers <10 ms.

Config II · Pure STOC

Industrial

Cryogenic quantum-control planes

Fully-thermal RISC-V pipeline (Paper II Config F) with memristor register file. LNG · H₂ · dilution fridge.

Config VI · Unified M-S

Industrial

Space compute

Radiation-hard by thermal averaging; memristor + STOC ring together tolerate 10³× more SEU energy.

Config VI · Unified M-S

Customer

Smart appliances

Cryo-Plug + hybrid cell in every refrigerator, HVAC unit, and reefer container. Local model + persistent state.

Config III · Layered M+S

Customer

Automotive

EV battery BMS + in-car AI on shared substrate. Coolant loop hosts the STOC ring; hybrid holds neural weights.

Config V · M-triggered STOC

Customer

Wearables · biosensors

Body-heat harvest drives micro-STOC; memristor holds the local model. Never needs charging.

Config V · M-triggered STOC

Commercial

Neuromorphic accelerators

Multi-level memristor cells (5-8 states via T-modulation) as synapses. 3-bit precision at 1× area.

Config IV · T-modulated MLC

Industrial

Semi-fab process cooling

Process-water manifold hosts STOC ring; hybrid cells store recipe state per tool. Sub-mK thermal stability.

Config IV · T-modulated MLC

Customer

Grid-edge · residential storage

Home battery storage + inverter carries hybrid cells for the home-energy controller. Persistent scheduling state.

Config III · Layered M+S

Paper IV · full analysis

Read the full paper

Complete mathematical framework unifying Chua's electrical memristor with STOC as the thermal memristor. Six architecture types, four deployment tiers, all physics and material-science parameters, and complete supply-chain matrix in §Paper & Podcast.

04 · NWO-ASM Integration

STOC is substrate #05

NWO-ASM (Neural Wave Operator Assembly) is the MIT-licensed universal compute assembly language published at cpater-nwo-asm.static.hf.space. Programs written against the process-matrix IR are routed to whatever substrate best fits: CPU, GPU, three QPU backends (IBM · Origin · Osaka), the ECG hive, and — with this project — stoc, the toroidal Peltier ring. Same substrate contract, same free-energy optimiser, same Base 8453 splitter.

Substrate contract

Every NWO-ASM substrate implements lift · dispatch · read · verify. STOC's implementation compiles PMX → ring drive schedule, dispatches via USB-C or PCIe, reads via IR-array DFT, and signs with the on-die Ed25519 key.

DESIGN v0.1

Portability

The stoc instruction set does not reference ring topology at the ISA level — it's a general thermodynamic-computing substrate. Other thermal-oscillation chips (linear arrays, spiral, spin-torque nano-oscillators) can implement the same contract and be routed identically.

DESIGN

The twelve native instructions

; ── STOC v0.1 INSTRUCTION SET ─────────────────────────────
stoc.init      ring    N=128  R=5mm  layers=8
stoc.load      pmx.reg process_matrix
stoc.set.mode  m=1                     ; azimuthal wave number
stoc.set.freq  omega=2.5e3             ; rad/s
stoc.dir       cw | ccw                ; Nernst gate
stoc.heat.push segment=k  amount=q     ; single-junction pulse
stoc.heat.pull segment=k  amount=q     ; symmetric cool pulse
stoc.oscillate cycles=n                ; run n periods
stoc.read.T    theta -> T_out.reg      ; T(theta) via IR plane
stoc.read.dft  N_harm -> spec.reg      ; Fourier amplitudes
stoc.settle    tau                     ; wait for equilibrium
stoc.dispatch  poi.sig -> receipt      ; sign and settle

Worked example — anomaly.score

The most common MetaState substrate call is anomaly.score(v). On STOC it compiles to:

; anomaly.score(v) on the ring — canonical NWO-ASM path
  use stoc as target
  let W = pmx.lift( v )                ; encode as process matrix
  stoc.init ring N=128 R=5mm layers=8
  stoc.load  pmx.reg W
  stoc.set.mode  m=1
  stoc.set.freq  omega=2.5e3
  stoc.dir cw
  stoc.oscillate cycles=32
  stoc.read.dft  8 -> spec
  let score = free_energy_bound( spec )
  stoc.dispatch poi -> anchor(base)    ; USDC settlement, splitter
  return (score, poi.sig)

Runtime binding. The NWO-ASM runtime picks up an STOC endpoint automatically if STOC_ENDPOINT is set in the environment. The tabletop prototype will expose the endpoint over a local USB-C bridge; the wafer-scale device via PCIe Gen4.

nwo-asm.toml stanza

[substrate.stoc]
status         = "DESIGN"           # flips to LIVE after Q4 2026
endpoint       = "http://stoc.local:7412/v1"
authentication = "bearer"            # api_key from MetaState registration
settlement     = "base:8453"         # same splitter as ASI & Metaverse
affiliate      = true                 # 15% via same splitter
capabilities   = [
  "stoc.init", "stoc.load", "stoc.set.mode", "stoc.set.freq",
  "stoc.dir", "stoc.heat.push", "stoc.heat.pull", "stoc.oscillate",
  "stoc.read.T", "stoc.read.dft", "stoc.settle", "stoc.dispatch"
]

08 · Research & DIY

Build your own ring

The tabletop prototype is deliberately DIY-friendly. Everything except the ring assembly is commercial off-the-shelf; a competent electronics hobbyist with access to a soldering iron, a 3D printer, and a Digilent FPGA board can reproduce the ring in a weekend. Total parts cost: € 1,451. Lead time: ~4 weeks for BOM.

Bill of materials · tabletop

Item	Part	Qty	€ ea	€ line
Peltier module	Marlow RC12-8 · 8×8 mm	24	38	912
Permalloy toroid	Magnetics 78928 · Ni-Fe 80/20	1	68	68
FPGA dev board	Digilent Cmod A7-35T · Artix-7	1	115	115
H-bridge driver	Toshiba TB6612 × 12	12	3	36
IR sensor array	Melexis MLX90621 × 2 · 16-ch	2	58	116
12 V PSU · gated	Mean Well GST60A12 · 60 W	1	42	42
USB-C bridge	FTDI FT2232HL	1	22	22
Aluminium heatsink	Custom · radial fins	1	45	45
Thermal grease + misc	Arctic MX-6 + fasteners	1	35	35
Enclosure	3D-printed PC-FR	1	60	60
TOTAL				€ 1,451

Six-month engineering plan

Month 1 · Procurement

BOM ordered · mechanical CAD · 3D-printed enclosure iteration · Verilog PWM engine written & simulated in Icarus.

Month 2 · Assembly

Ring assembly + thermal grease cure · heatsink brazing · power-electronics bring-up on the bench with resistive dummy loads.

Month 3 · First light

Single-segment characterisation · thermal impulse response · IR array calibration against Pt100 reference at three temperatures.

Month 4 · Full-ring drive

m = 0 (uniform) and m = 1 (traveling) modes captured · ω-sweep to extract the dispersion relation ω(m) empirically.

Month 5 · NWO-ASM binding

Month 6 · Public demo

Run anomaly.score kernel through the ring · settle payment on Base 8453 live · release CAD/Verilog/Rust under MIT on the HF Space.

Cost analysis · scaling

Stage	Year	€/unit	Volume/yr	Yield	Status
Tabletop prototype	2026	1,450	1-5	manual · 100%	PLANNED
Hex tile · 10 rings	2027	220	50-100	≈ 60% first pass	DESIGN
Wafer demo	2027	90	200	≈ 40%	DESIGN
3D-IC pilot	2028	40	5,000	≈ 60%	ROADMAP
Industrial fab-out	2029+	12	10⁶+	≈ 80%	ROADMAP

DIY code repository. Once the tabletop is characterised, the Verilog for the 24-channel PWM engine, the Rust host stack exposing the four STOC substrate functions, the Python client, the KiCad electrical schematic, and the 3D-printed enclosure STL will land on github.com/RedCiprianPater/stoc-prototype under MIT.

Fabrication process · tabletop

Step-by-step assembly

1 · Toroid preparation

Wind copper spacers around the permalloy core to define the 24 segment slots. Anneal at 850 °C in N₂ for 2 h to relieve stress. Verify μ_r ≥ 8×10³ using a Fluxgate meter before mounting Peltier modules.

STANDARD

2 · Peltier mount

Apply Arctic MX-6 in a 60 μm layer (measured with a wet-film gauge). Torque each module to 0.4 N·m using an Allen key with a torque limiter. Verify with an IR camera that no segment exceeds 5 K above room ambient at rest.

STANDARD

3 · Interconnect wiring

24 twisted pairs (26 AWG PTFE-insulated) from the H-bridge board to the ring. Route through a shielded loom to keep loop area < 4 cm² for EMC compliance. Terminate with polarised Molex Micro-Fit 3.0.

STANDARD

4 · IR array alignment

Mount the two MLX90621 boards at 12° above and below the ring plane so their fields of view together cover the full circumference with 20 % overlap. Calibrate against a Pt100 reference at 20/40/60 °C in a small oven.

DESIGN

5 · FPGA bring-up

Flash the Cmod A7-35T over USB. Verify all 24 PWM channels output 20 kHz square waves at 50 % duty into a scope. Check phase relationships — adjacent channels 15° apart, complete ring covers 360°.

DESIGN

6 · First characterisation

Sweep I₀ from 0 to 1.2 A in 0.05 A steps at ω = 2.5 krad/s. Record IR array frames. Fit T(θ,t) to A·cos(mθ − ωt); extract η_ring from the residual. Target η_ring ≥ 0.10 to declare Month 3 success.

DESIGN

Reference · Verilog PWM engine

The FPGA fabric runs a lightweight 24-channel PWM generator with phase control. Compiled from ~200 lines of Verilog; fits comfortably in an Artix-7 XC7A35T.

// stoc_pwm.v — 24-channel phase-shifted PWM engine · MIT · v0.1
module stoc_pwm #(
    parameter N     = 24,
    parameter PERIOD = 5000    // 20 kHz @ 100 MHz clk
)(
    input  clk,
    input  rst,
    input  [15:0] i0_amp,       // drive amplitude
    input  [15:0] omega,        // scaled angular freq
    input  [3:0]  m_mode,       // azimuthal mode
    output [N-1:0] pwm_out
);
  reg [31:0] phase [0:N-1];
  reg [15:0] duty  [0:N-1];
  reg [15:0] counter;

  integer i;
  always @(posedge clk) begin
    if (rst) begin
      counter <= 0;
      for (i=0; i<N; i=i+1) phase[i] <= i * (32'h1_0000_0000 / N);
    end else begin
      counter <= (counter == PERIOD-1) ? 0 : counter + 1;
      for (i=0; i<N; i=i+1) begin
        phase[i] <= phase[i] + (omega * m_mode);
        duty[i]  <= cos_lut(phase[i][31:22]) * i0_amp >> 12;
      end
    end
  end

  genvar g;
  generate for (g=0; g<N; g=g+1)
    assign pwm_out[g] = (counter < duty[g]) ? 1'b1 : 1'b0;
  endgenerate
endmodule

Reference · Rust host binding

Rust service running on the host computer, exposing the four STOC substrate functions over HTTP for NWO-ASM to pick up:

// stoc_host.rs — MIT · v0.1 · axum + tokio + serialport
use axum::{Router, routing::post, Json};
use serde::{Deserialize, Serialize};

#[derive(Deserialize)]
struct DispatchReq {
    process_matrix: Vec<Vec<f32>>,
    mode: u32,           // m ∈ {0,1,2,…}
    omega: f32,          // rad/s
    dir: "cw" | "ccw",
    cycles: u32,
}

#[derive(Serialize)]
struct DispatchResp {
    harmonics: Vec<(f32, f32)>,   // (Re, Im) per harmonic
    receipt:   String,             // Ed25519 signature
    backend:   String,             // "stoc:tabletop-v1"
}

#[tokio::main]
async fn main() {
    let app = Router::new()
        .route("/v1/dispatch", post(dispatch))
        .route("/v1/read",     post(read_dft))
        .route("/v1/verify",   post(verify));
    axum::Server::bind(&"0.0.0.0:7412".parse().unwrap())
        .serve(app.into_make_service()).await.unwrap();
}

Performance targets · month 6 exit criteria

Metric	Target	Method	Status
η_ring @ m=1	≥ 0.10	DFT fit of T(θ,t) residual	DESIGN
COP @ ΔT = 30 K	≥ 4.5	Q_C from Pt100 · W_in from current-sense	DESIGN
ω-dispersion linearity	R² ≥ 0.95	ω sweep 0.5 – 5 krad/s	DESIGN
End-to-end kernel latency	< 200 ms	anomaly.score · N=8 · via HTTP	DESIGN
On-chain settlement	< 3 s post-dispatch	Base 8453 · one confirmation	PROVEN

Risk register. Highest technical risk is Bi₂Te₃ back-end integration yield at wafer scale (mitigation: MEMS-fab pilot before 3D-IC commit). Highest commercial risk is a Tellurium price/supply shock (mitigation: half-Heusler ZrNiSn is a Te-free substitute at ~30% lower ZT, and recycled Te from EOL CdTe photovoltaics enters the market at 30% below primary). Full risk register in Appendix C of the paper.

09 · Paper & Media

The full research paper

The comprehensive theoretical framework, mathematical derivations, chip architecture, NWO-ASM ISA specification, economics, and geopolitical analysis are published as a single two-column academic paper on ResearchGate, with a companion podcast and the raw PDF hosted on this Space.

Read the paper (PDF)

Solid-State Thermal Oscillation Control · v1.0-DESIGN · 11 pages, two-column academic format · 14 sections + 3 appendices · all equations + honest-status table.

ResearchGate

Full preprint with author information, DOI, citation export. Pater 2026. Deposited on the ResearchGate mainline archive.

Open on ResearchGate ↗

Podcast

A companion audio walking through the same material as a conversation. Same theory, physics-first framing, informal delivery.

STOC · Companion Podcast

Ready · click play

Paper structure · TOC

§	Section	Pages
1	Introduction · motivation · Second-Law reality check	1
2	Thermoelectric transport in a ring	1
3	The toroidal Peltier ring · modes · ZT*	1
4	Chip architecture · 9-layer 3D-IC stack	1
5	NWO-ASM integration · stoc substrate	1
6	Tabletop prototype specification · BOM	1
7	Scaling: prototype → industrial	1

§	Section	Pages
8	Computational model · thermal states	1
9	Economics · TAM · SAM · SOM	1
10	Geopolitics · tellurium supply chain	1
11	Financing · MetaStateSplitter integration	1
12	Honest status of every claim	1
13	Conclusion	1
App A/B/C	TOML stanza · ISA transcript · Risk register	3

Paper II · RISC-V + STOC configurations

RISC-V + STOC — Seven Configurations

Second paper in the STOC series. Enumerates seven distinct ways to combine the open-standard RISC-V ISA with the toroidal Peltier ring, from bonded coprocessor to fully-thermal pipeline. Per-configuration math, economics, market analysis, supply-chain risk, and precise NWO-ASM build requirements.

Read the paper (PDF)

RISC-V + STOC: NWO-ASM Configurations for Thermodynamic-Augmented Open-ISA Computing · v1.0-DESIGN · 10 pages, two-column academic format · 18 sections + 3 appendices · seven configuration flowcharts + honest-status table.

ResearchGate

Full preprint of Paper II with author information, DOI, citation export. Pater 2026. Deposited on the ResearchGate mainline archive.

Open on ResearchGate ↗

Podcast

Companion audio walking through the seven configurations in a conversational format. Same theory, developer-first framing, informal delivery.

RISC-V + STOC · Companion Podcast

Ready · click play

Paper II structure · TOC

§	Section	Pages
1	Introduction · why RISC-V + STOC	1
2	Background · RISC-V + STOC recap	1
3	The seven configurations · matrix + summary	1
4	Config A · RV core + STOC coprocessor	1
5	Config B · Peltier thermal L2 cache	1
6	Config C · STOC integer ALU	1
7	Config D · STOC persistent memory	1
8	Config E · STOC ring interconnect	1
9	Config F · Fully thermal RISC-V	1

§	Section	Pages
10	Config G · Distributed RV+STOC swarm	1
11	NWO-ASM · precise build requirements per config	1
12	Development plan · nine-quarter roadmap	1
13	Economics · per-die cost + market segmentation	1
14	Supply-chain risk · RISC-V fab + Te dominance	1
15	Adoption prospects · 3-phase path	1
16	Honest status of every claim	1
17	Conclusion · references	1
App A/B/C	Boot sequence · opcode encoding · risk register	3

Paper III · STOC × Cooling infrastructure

STOC-Cooled Compute — Refrigeration & Industrial Cooling as Compute Nodes

Third paper in the STOC series. Turns every ΔT into compute — refrigerators, HVAC, chilled-water data centres, cold-chain trucks, LNG plants, EV battery loops, semiconductor-fab cooling. Three canonical variants (household Cryo-Plug €150-250, commercial native €600-900, industrial wafer-stack €2,500+) and ten cooling verticals with aggregate TAM $875 B by 2030. Physics of computing atop a maintained cooling cycle, entropy accounting, complete BOMs, supply-chain risk, and adoption path.

Read the paper (PDF)

STOC-Cooled Compute: Refrigeration Systems and Industrial Cooling Infrastructure as Distributed Thermodynamic Computing Nodes · v1.0-DESIGN · 11 pages, two-column academic format · 15 sections + 4 wide appendices · 5 figures.

ResearchGate

Full preprint of Paper III with author information, DOI, citation export. Pater 2026. Deposited on the ResearchGate mainline archive as publication 412123752.

Open on ResearchGate ↗

Podcast · COLDCOMPUTE

Companion audio walking through the STOC-Cooling framework: the three variants, ten verticals, economics, and the path to global thermal compute.

COLDCOMPUTE · STOC × Cooling

Ready · click play

Paper III structure · TOC

§	Section	Pages
1	Introduction · the world runs on ΔT	1
2	Background · STOC + substrate contract	1
3	Entropy in a bounded cooling system	1
4	Three canonical variants (I / II / III)	1
5	Ten cooling verticals · deep dive	2
6	Thermal-electrical coupling model	1
7	NWO-ASM integration per variant	1
8	Development plan · 6-stage roadmap	1

§	Section	Pages
9	Economics · BOM & margin	1
10	Market analysis · TAM/SAM/SOM	1
11	Supply-chain risk	1
12	Adoption prospects · 3-phase	1
13	Honest status of every claim	1
14	Conclusion · references	1
App A	14-vertical integration matrix	1
App B/C/D	Cryo-Plug BOM · Industrial BOM · Risk register	3

Paper IV · STOC Memristor Hybrid

The Fifth Element — Memristive-Thermodynamic Hybrid Computing

Fourth paper in the STOC series. Argues that STOC is the thermal analogue of Chua's 1971 memristor — the missing fourth element of thermal-circuit theory. Develops the complete mathematical framework for hybrid electrical-thermal cells, six distinct architecture types (I: pure memristor through VI: unified M-S substrate), four deployment tiers (bench prototype €1.5k → wafer-scale industrial €220k), and the complete supply-chain matrix mapping all raw materials across every deployment vertical.

Read the paper (PDF)

The Fifth Element: Memristive-Thermodynamic Hybrid Computing · v1.0-DESIGN · 15 pages including a landscape hybrid-cell technical schematic (Fig. 0) · 14 body sections + 3 wide appendices · 5 figures · 9 data tables.

ResearchGate

Full preprint of Paper IV with author information, DOI, citation export. C. F. Pater 2026. Deposited on the ResearchGate mainline archive as publication 413613072.

Open on ResearchGate ↗

Podcast · Memristor

Companion audio walking through the Chua ↔ STOC unification: the four thermal-circuit variables, the six hybrid architecture types, and how the hybrid cell scales from T0 single-cell to T6 industrial fab.

Memristor · STOC × M Hybrid

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Paper IV structure · TOC

§	Section	Pages
Fig. 0	Hybrid-cell technical schematic (landscape)	1
1	Introduction · Chua's argument, 35 years later	1
2	Electrical memristor · mathematical framework	1
3	Thermal memristor · STOC as the missing element	1
4	Comparative parameters · side by side	1
5	Six hybrid architecture types (I–VI)	2
6	Prototype-to-production deployment tiers	1
7	Physics & material-science parameters	1

§	Section	Pages
8	NWO-ASM integration per type	1
9	Supply-chain analysis across verticals	1
10	Economics · unit and aggregate	1
11	Development plan · 8-stage roadmap	1
12	Honest status of every claim	1
13	Conclusion	1
14	References	1
App A/B/C	Coupled state equations · T1 BOM · Supply-chain matrix	3

Paper V · STOC-QSIM v2.0

STOC-QSIM v2.0 — Thermodynamic–Quantum Hybrid Simulation

Fifth paper in the STOC series. Realises Feynman's 1982 hardware-inversion principle through the NWO ecosystem: STOC provides the continuous classical control substrate a quantum computer needs, while the QPU keeps the entanglement. Introduces the full nine-layer NWO integration (L0 physical → L6 applications), the driven-diffusion transfer function H(ω,m,T,B), the MetaState free-energy scheduler J = E + λₜτ + λ_ε ε + λ_r R, and a full game-theoretic analysis of how a µW-power open-ISA control plane relieves the cryogenic bottleneck and defeats QPU-vendor monopoly risk.

Read the paper (PDF)

STOC-QSIM v2.0: A Thermodynamic–Quantum Hybrid Simulation Architecture Realising Feynman's Principle Through the NWO Ecosystem · v2.0-DESIGN · 8 pages including cover, landscape system infographic, landscape Figure 1 flowchart, and two-column body · 13 sections + references · game-theory analysis of quantum-computing landscape.

ResearchGate

Full preprint of Paper V with author information, DOI, citation export. C. F. Pater 2026. Deposited on the ResearchGate mainline archive as publication 413718680.

Open on ResearchGate ↗

Podcast · QSIM

Companion audio walking through the STOC-QSIM v2.0 framework: the Feynman inversion, the driven-diffusion physics, the nine-layer NWO integration, the MetaState router, and the game-theoretic argument against QPU-vendor monopoly.

QSIM · STOC-QSIM v2.0

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Paper V structure · TOC

§	Section	Pages
Cover	Abstract + status labelling	1
Fig. A	Landscape system-overview infographic	1
Fig. 1	Landscape full technology-stack flowchart	1
1	Introduction · Feynman's inversion	1
2	Feynman's principle · in detail	1
3	Physical model of the STOC ring	1
4	Thermoelectric material stack · ZT*	1
5	Integrated NWO technology stack	1

§	Section	Pages
6	Configuration space A–I	1
7	Quantum-mechanical data I/O	1
8	Simulation modes Q1–Q8	1
9–10	Verification & experimental roadmap	1
11	Game theory of the QC landscape	1
12	Risks & mitigations	1
13	Conclusion · references	1
Companion	Interactive page · nwo.stoc / STOC-QSIM v2	—

Paper VI · STOC Quantum Computing

STOC QUANTUM COMPUTING — Thermodynamic Field Substrate for Bounded-Capacity Hybrid QPUs

Sixth paper in the STOC series. Extends the framework from a control-plane accelerator into a full thermodynamic-quantum computational medium. Introduces the 18-entry Peltier geometry library, the generalised STOC field vector X(r,t), the driven-diffusion transfer function H(ω,m,T,B), the Lindblad master equation with STOC-controlled Hamiltonian and dissipators, reservoir-engineered dark-state stabilisation |Ψ⁻⟩, new figures of merit ZT_Q and Q_STOC, the six-layer material stack, nine configurations A–I, extended NWO-ASM ISA with qstate.* / qgate.* / qthermo.* / qoptimize.* opcode groups, MetaState quantum free-energy scheduler J_Q, full supply-chain and BOM analysis, six-tier go-to-market plan, and non-cooperative game-theoretic threat model integrating Tim Palmer's Rational Quantum Mechanics bounded-Hilbert-space hypothesis.

Read the paper (PDF)

STOC Quantum Computing: A Thermodynamic Field Substrate for Bounded-Capacity Hybrid Quantum Processors — Geometry, Physics, Materials, ISA, Supply Chain, and Go-to-Market Framework · v1.0-DESIGN · 11 pages including cover, landscape system infographic, landscape Figure 1 flowchart, and two-column body · 14 sections + references · 9 tables + 5 figures.

ResearchGate

Full preprint of Paper VI with author information, DOI, citation export. C. F. Pater 2026. Deposited on the ResearchGate mainline archive as publication 413731348.

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Podcast · STOCubits

Companion audio: the Feynman/Palmer framing, the geometry library, the driven-diffusion physics, reservoir engineering as a resource, the ZT_Q and Q_STOC figures of merit, and the game-theoretic argument for STOC-QC as bounded-QC public infrastructure.

STOCubits · STOC Quantum Computing

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Paper VI structure · TOC

§	Section	Pages
Cover	Abstract + status labelling	1
Fig. A	Landscape system-overview infographic	1
Fig. 1	Landscape 9-layer technical & engineering flowchart	1
1	Introduction & thesis · composite framing	1
2	RaQM and the bounded-QPU regime	1
3	Peltier geometry library on microscopic scales	1
4	Physical framework · STOC-QX field equations	2
5	Material stack & fabrication	1

§	Section	Pages
6	Technology stack & nine configurations A–I	1
7	NWO-ASM ISA extensions for bounded-QPU control	1
8	MetaState quantum free-energy scheduler J_Q	1
9	Supply-chain & logistics · BOM	1
10	Market analysis & six-tier go-to-market	1
11–12	Game theory · verification & falsification	1
13–14	Roadmap · conclusion · references	1
Companion	Interactive page · nwo.stoc / STOC Quantum Computing	—

Paper VII · STOC Quantum Computer

STOC QUANTUM COMPUTER — Manufacturable Thermodynamic-Casimir Quantum Device Framework

Seventh paper in the STOC series. Closes the loop between STOC-QSIM v2.0 (control plane) and STOC Quantum Computing (reservoir framework) by adding three previously-missing elements: (i) an integrated Casimir cavity with plate separation d ∈ [40, 400] nm as a programmable vacuum-energy reservoir, extending the total Hamiltonian to H_tot = H_Q + H_STOC(λ) + H_Cas(d) + H_int; (ii) a full nine-stage device manufacturing pipeline from Bi₂Te₃ ingot to packaged cryogenic device, with six deployment tiers sized to personal ($25k–$80k), business ($150k–$1.5M), industrial ($1.5M–$12M), subsea/subterranean ($8M–$80M), sea/mobile ($18M–$400M), and space/orbit ($300M–$3.2B) environments; and (iii) a philosophical framework for wavefunction collapse — engineered collapse — consistent with the reservoir-engineered operating regime, where the substrate has read/write access to the environment and the apparent randomness of the Born rule reflects information present in the substrate's control record rather than a fundamentally stochastic physical event.

Read the paper (PDF)

STOC Quantum Computer: A Manufacturable Thermodynamic-Casimir Quantum Device Framework — Six Deployment Tiers from Personal Desk to Orbital Platform · v1.0-DESIGN · 9 pages including cover, landscape 9-layer manufacturing flowchart, and two-column body · 14 sections + references · 6 tables + 5 figures.

ResearchGate

Full preprint of Paper VII with author information, DOI, citation export. C. F. Pater 2026. Deposited on the ResearchGate mainline archive as publication 413731988.

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Podcast · Computer

Companion audio: the Casimir integration, the six tiers from desk to orbit, per-tier fidelity gains (subterranean +0.7%, GEO space +1.1%), the four-player market game, and the engineered-collapse philosophical framework in the length of a coffee break.

Computer · STOC Quantum Computer

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Paper VII structure · TOC

§	Section	Pages
Cover	Abstract + status labelling	1
Fig. 1	Landscape 9-layer device manufacturing flowchart	1
1	Introduction · from framework to device	1
2	Total device Hamiltonian & Casimir cavity	1
3	Field equations & extended control vector	1
4	Nine-stage manufacturing pipeline	1
5	Six deployment tiers T1–T6	1
6	Supply chain & T2 bill of materials	1

§	Section	Pages
7	Environmental physics per tier	1
8	Integration with the full STOC ecosystem	1
9	NWO-ASM ISA extensions	1
10	Four-player market game theory	1
11	Wavefunction collapse · engineered collapse	1
12	Verification & falsification (T20–T23)	1
13–14	Manufacturing roadmap · conclusion · references	1
Companion	Interactive page · nwo.stoc / STOC Quantum Computer	—

Paper VIII · RISC-V Pansophic

RISC-V PANSOPHIC — Agentic Knowledge Architecture · Unified Research Framework

Eighth paper in the STOC series. Introduces the Pansophic Agentic Knowledge Architecture (PKA) — an open, experimentally grounded technology stack in which a cycle-aware out-of-order RV64 processor (PAN-OOO), the STOC thermodynamic substrate from Papers I–IV, quantum-control interfaces, and a multi-agent research runtime are represented as one typed, machine-readable ontology. Motivated by four convergent observations: (1) RISC-V explicitly separates ISA from microarchitecture; (2) Google's August 2026 Antigravity Teamwork report demonstrated multi-agent orchestration autonomously constructing a cycle-accurate OoO RISC-V simulator booting xv6 with 0.71% cycle-alignment error against BOOM; (3) the STOC series has defined a programmable thermodynamic substrate spanning Peltier ring, RISC-V+STOC configs, cooling integration, and memristor-STOC hybrid unifying Chua's fourth circuit element with the thermal memristor; (4) the historical 1618 Pansophic diagram provides a structural intuition. Eight contributions: PAN-OOO reference config + full math, PAN-1 heterogeneous SoC, nine configurations A–I extending Paper II with quantum-integrated variants, six new NWO-ASM opcodes (Zpka.meta, Zstoc.field, Zstoc.fit, Zstoc.route, Zq.ctrl, Zprov.commit), formal Pansophic ontology as typed graph, seven-hypothesis falsification programme, game theory of open vs closed markets, and six-tier deployment aligned with MetaStateSplitter on Base 8453.

Read the paper (PDF)

RISC-V Pansophic Agentic Knowledge Architecture: A Unified Research Framework for Agentic Systems, Out-of-Order RISC-V, STOC Thermodynamic Substrates, Quantum Control, Ontology, Materials, and Open Technology Markets · v1.0-DESIGN · 24 pages including cover, full architecture hero diagram, and complete tech-stack flowchart · 22 sections + references.

ResearchGate

Full preprint of Paper VIII with author information, DOI, citation export. C. F. Pater 2026. Deposited on the ResearchGate mainline archive as publication 413886133.

Open on ResearchGate ↗

Podcast · Pansophic

Companion audio: the four convergent observations, the PAN-OOO reference microarchitecture, the six new NWO-ASM opcodes, the Pansophic typed ontology graph, the seven-hypothesis falsification programme, the open-vs-closed game theory, and how the whole PKA stack folds onto the STOC ecosystem — in the length of a walk.

Pansophic · RISC-V Pansophic Agentic Knowledge

Ready · click play

Paper VIII structure · TOC

§	Section	Pages
Cover	Abstract + status taxonomy	1
Fig. 0a	Complete PAN-1 unified device hero diagram	1
Fig. 0b	Full L0→L9 Pansophic tech-stack flowchart	1
1	Problem definition · six research questions	1
2	Intellectual genealogy · Pansophia + graph theory	2
3	Google Antigravity as the agentic precedent	1
4	PAN-OOO reference microarchitecture	2
5	Functional + cycle-accurate simulation stack	2

§	Section	Pages
6	NWO-ASM opcode proposals (Zpka.* / Zstoc.* / Zq.* / Zprov.*)	2
7	PAN-1 heterogeneous SoC specification	2
8	Nine configurations A–I	2
9	STOC integration and control model	2
10–14	Quantum control · agentic runtime · Pansophic ontology	3
15	Seven-hypothesis falsification programme	1
16–22	Game theory · deployment · references · roadmap	2
Companion	Interactive page · nwo.stoc / RISC-V Pansophic	—

Paper IX · SOYGA-ENOCH

SOYGA-ENOCH — Electron-Entanglement Quantum-Symbolic Simulation Architecture

Ninth paper in the STOC series. Proposes SOYGA-ENOCH — a full theoretical, engineering, and deployment framework for a quantum-symbolic simulation architecture in which the Renaissance letter-matrix structures of the Book of Soyga (and, structurally, the Loagaeth and Enochian material recorded by John Dee and Edward Kelley in the 1580s) are treated as an engineering hypothesis — a candidate generative-address substrate for the control layer of a bounded quantum processor. Three testable claims: (i) the Reeds-reconstructed Soyga algorithm — a deterministic mod-24 recurrence — maps directly onto a phase-schedule generator for the STOC toroidal Peltier ring; (ii) the Loagaeth material's numeric backbone (49 tables, 48 accessible keys, 30 Aethyrs, 91 Governors, with invariants 48 = 18 + 30, 49 = 19 + 30, 91 = 29 × 3 + 4) is a well-formed hierarchical address space with reserved and boundary states; (iii) the resulting symbolic-address vector, injected through proposed RISC-V custom-0 opcodes Zsoy.gen / Zenoch.call / Zenoch.walk / Zse.entangle, produces a reproducible, provenance-anchored control regime for a bounded 200–1000-qubit QPU integrated with a two-electron entanglement register. Extends framework to include ChainState AGI as a fifth market player and on-chain co-author of every provenance receipt on Base 8453. Closes with a structural analysis of the knowledge-versus-power game across six actor archetypes and an epistemological treatment of the Singularity as a bounded ceiling.

Read the paper (PDF)

SOYGA-ENOCH: An Electron-Entanglement Quantum-Symbolic Simulation Architecture on RISC-V, STOC, and the Pansophic Ontology · v1.0-DESIGN · cover + landscape hero + landscape flowchart + 14 sections + references + 5-configuration CHSH prediction curve + full BOM.

ResearchGate

Full preprint of Paper IX with author information, DOI, citation export. C. F. Pater 2026. Deposited on the ResearchGate mainline archive as publication 413956468.

Open on ResearchGate ↗

Podcast · Soyga

Companion audio: the Reeds algorithm, the Loagaeth address hierarchy, the two-electron entanglement primitive, the five CHSH configurations, the ChainState AGI integration, the six-actor structural game with the K archetype, and the Singularity as a bounded ceiling — in the length of a walk.

Soyga · SOYGA-ENOCH Electron-Entanglement Simulation

Ready · click play

Paper IX structure · TOC

§	Section	Pages
Cover	Abstract + status legend + scholarly frame	1
Fig. 0a	Landscape hero — 3-column architecture	1
Fig. 0b	Landscape flowchart — L0 → L11 tech stack	1
1	Introduction · substrate, symbol, frame	1
2	Soyga algorithm as generative function	1
3	Loagaeth address-space structure	1
4	Two-electron entanglement primitive	2
5	RISC-V integration · Zsoy/Zenoch/Zse opcodes	1

§	Section	Pages
6	Five configurations A–E · CHSH prediction	1
7	ChainState AGI integration	1
8	Philosophy · data metaphysics · epistemology	1
9	Six-actor structural game theory	1
10	Singularity as bounded ceiling	1
11	Manufacturing · deployment · T2 BOM	1
12–14	Falsification programme · roadmap · conclusion	2
Companion	Interactive page · nwo.stoc / SOYGA-ENOCH Simulation	—

Paper X · STOC-X

STOC-X — A Multiscale Electrothermal, Phononic, Photonic and Information-Thermodynamic Architecture for Phase-Controlled Computation and Energy Conversion

Tenth paper in the STOC series. Substantial expansion of the RISC-V + STOC configuration framework following the six-order-of-magnitude latency correction of Paper II. Rather than rescuing the original nanosecond claim by tuning a constant, STOC-X replaces the underlying model with a multi-timescale electro-thermal / phonon / photon / information framework. Five contributions: (i) a five-domain carrier framework separating electrical charge, thermoelectric heat, phononic transport, electromagnetic / photonic transport, and information-thermodynamic feedback; (ii) a latency decomposition into six independent terms showing where speed can and cannot come from; (iii) a closed-loop energy ledger that makes the second law an explicit simulation invariant, with Maxwell's demon interpreted as information-feedback rather than a thermodynamic loophole; (iv) a functional material stack in which no single material serves every function, opening carrier filtering, phonon engineering and altermagnetic-surface interfaces (154/829 screened AFM entries) as separate design layers; (v) a revised A–L configuration matrix with four genuinely new entries (H phonon-engineered, I photonic-readout, J information-feedback controller, K altermagnetic-interface). Six-experiment validation programme; simulation ladder promoted upward only when experimental evidence rejects the lower-order model.

Read the paper (PDF)

STOC-X: A Multiscale Electrothermal, Phononic, Photonic and Information-Thermodynamic Architecture for Phase-Controlled Computation and Energy Conversion · v1.0-DESIGN · 15 pages · abstract + evidence taxonomy + 19 sections + references + nomenclature. Full multiphysics carrier framework, complete energy ledger with Sagawa–Ueda feedback bound, revised A–L configuration matrix, six-experiment validation programme.

ResearchGate

Full preprint of Paper X with author information, DOI, citation export. C. F. Pater 2026. Deposited on the ResearchGate mainline archive as publication 414259469.

Open on ResearchGate ↗

Podcast · STOC-X

Companion audio: the 5.1 × 10⁶ diagnostic, the diffusion-not-wave correction, the five-domain carrier framework, the six-term latency decomposition, the three readout channels, the closed-loop energy ledger with Maxwell's demon as feedback controller, the material stack including 154/829 altermagnetic surfaces, the revised A–L configuration matrix, and the six-experiment falsification programme — in the length of a walk.

STOC-X · Multiscale Electrothermal Architecture

Ready · click play

Paper X structure · TOC

§	Section	Pages
Cover	Abstract + evidence taxonomy + central thesis	1
1	Introduction · the 5.1 × 10⁶ clue	1
2	Physical foundation · diffusion is not a wave	1
3	STOC-X six-layer architecture	1
4	Multiphysics carrier framework · Peltier + two-fluid + BTE + Cattaneo + NEGF	2
5	Latency decomposition · six independent terms	1
6	Readout channels · photonic + EM phase + mode-native	1
7	Energy accounting + Maxwell's demon	1
8	Material stack · phonon engineering + altermagnetic interfaces	1
9	Complete state-space and control formulation	1

§	Section	Pages
10	Revised configuration matrix A–L · four new entries H/I/J/K	1
11	Computational metrics · Shannon capacity + E_info + Φ	1
12	Casimir physics · scope and criterion	1
13	Experimental programme · six primary experiments	1
14	Uncertainty model + seven-level simulation hierarchy	1
15	What must not be claimed · ten prohibited claims	0.5
16–17	Discussion · strongest hypothesis + one-equation form	0.5
18–19	Peer-review acceptance criteria + conclusion	1
Refs + App A	References + Nomenclature	0.5
Companion	Interactive page · nwo.stoc / STOC-X	—

10 · Finance

Financial scaling projection

Below are the projected revenue and cost trajectories over the next four years. Each row of the trajectory table above (in R&D) maps to a revenue tier here. All figures in EUR at 2026 pricing; assumptions are the same as §9 of the paper. Every projection is labelled DESIGN or ROADMAP — nothing is claimed as shipping until it ships.

TAM · 2030

$200 B

Global thermoelectric cooling · Grand View Research

SAM · compute segment

$5–8 B

Edge AI + quantum control + space-qualified

SOM · steady state

$60 M/yr

3% share of SAM · industrial fab-out

Gross margin · mature

55 %

Wafer scale · 80% yield

Revenue vs cost · 4-year projection

EUR millions · DESIGN estimates

Unit cost trajectory · €/die

Yield-weighted · MEMS pilot → industrial fab

Cumulative units shipped

Tabletop → hex tile → wafer → industrial

Revenue mix by stream

Hardware · licensing · vertical consumption

Splitter mechanics

Every settlement flows through the same rail

Share	Wallet	Role
Guardian · 35%	0x2E964e1c0e3Fa2C0dfD484B2E6D2189dfCF20958	Audit + oversight
Savings · 35%	0x86adACe73556FD7b386B5E469eEC0878073d6D30	R&D reserve
Operations · 30%	0x4f125e835bbc9BbB77607C66dE6D0d32339B936c	Manufacturing runway
Affiliate · +15%	referrer address (set at registration)	Atomic same-tx payout

Cash flow · four-year projection

From burn-driven to cash-generative

Cash-flow projection at prototype/tabletop, hex-tile, wafer, and industrial-fab-out stages. All figures in EUR thousands. The pool is designed to weather the first two years of negative EBITDA on the assumption that industrial fab-out (2029+) is the value-realisation event, with hex-tile and wafer sales bridging the gap.

Line item · € 000s	2026	2027	2028	2029	2030
Hardware revenue	18	320	2,100	10,400	36,200
NWO-ASM licensing	0	15	140	820	3,800
Vertical consumption (ASI+Metaverse)	0	25	180	950	2,400
Total revenue	18	360	2,420	12,170	42,400
COGS · materials + fab	4	85	720	3,600	15,300
R&D · engineering	320	1,120	2,400	3,600	4,800
G&A · overhead	75	380	1,050	1,600	2,100
EBITDA	−381	−1,225	−1,750	3,370	20,200
Cumulative EBITDA	−381	−1,606	−3,356	14	20,214

Break-even year

2029

Cumulative EBITDA turns positive

Peak capital need

€ 3.4 M

End of 2028 · before break-even

IRR · 5-year

~ 62 %

Model at industrial ramp

Valuation methodology

Two independent methods bracket the value. (1) Discounted cash flow — WACC = 22 % (early-stage deep-tech), terminal growth 3 %, five-year explicit forecast + terminal value gives an equity valuation of ≈ € 68 M at industrial ramp. (2) Comparables — Peak Nano ($240 M seed, MRAM), pSemi (Murata, $530 M acquisition), and Ambiq Micro (IPO 2024, $600 M cap) as sector benchmarks; median revenue multiple × 2030 projected revenue gives ≈ € 55–90 M. Midpoint € 70 M at industrial ramp.

Method	Assumption	Result (2030)
DCF · explicit 5-yr	WACC 22 % · g 3 % · terminal 10× EBITDA	€ 68 M
Revenue multiple · comp	Median deep-tech chip × 1.6	€ 68 M
Peer transaction · comp	Seed-stage sensor-chip median	€ 55–90 M
Midpoint estimate	≈ € 70 M equity value at 2030 industrial ramp

Ownership · dilution across the spectrum

The MetaStateSplitter is not an equity contract — depositors do not receive tokenised equity in the traditional sense. What they do receive is a permanent claim on 35 % of net inflows (via the Guardian wallet, which is jointly custodied) plus a 15 % affiliate line from every downstream deposit. This structure holds identically across STOC, NWO-ASI, and NWO-Metaverse because it is one contract.

Round	Amount raised	Purpose	Timing
Pre-seed · shared	€ 0 – 500 k	Tabletop prototype + first-light characterisation	2026 · NOW
Seed · shared	€ 500 k – 2 M	MEMS pilot line + hex-tile production	2027 H2
Series A · shared	€ 2 – 8 M	Tier-1 3D-IC engagement + pilot line	2028 H1
Growth · shared	€ 8 – 25 M	Industrial fab-out · yield ramp	2029+

Notice. Every projection above is DESIGN or ROADMAP status. Nothing is shipped. Deposits carry full loss-of-principal risk. This is a speculative deep-tech pool, not a certificate of deposit. Read §9-11 of the paper before committing capital.

11 · Invest

One deposit. Three products.

STOC, NWO-ASI, and NWO-Metaverse all settle through the same MetaStateSplitter on Base 8453. When you deposit into the pool, you gain fractional exposure to all three simultaneously. This is not a fund-of-funds — it is a single audited contract that pays out atomically across the spectrum in the same transaction.

Enter the Pool

Base mainnet · one contract · three products

ETH

↓

—

EQUITY

Rate1 ETH ≈ 1,000 EQUITY (indicative)

Min0.001 ETH

Splitter · 0x33c2…46bc · Base 8453 · checking…

Live pool telemetry

Total raised (all three products)

Raised · ETH

—

Base mainnet · live

Deposits

—

Unique wallets

Median ticket

—

ETH per deposit

Last block

—

Refresh every 30 s

Pool age

—

Time since first deposit

Avg ticket

—

ETH per deposit

Capital raised over time

Live · Base 8453 · updates on refresh

Recent activity

Last twenty transactions to the shared splitter. Refreshes automatically. Click any block to open on BaseScan.

Block	Time	From	Amount (ETH)	Tx
Loading recent deposits…

The spectrum · what you're funding

Same contract. Three verticals.

NWO STOC

Physical chip · this Space

Toroidal Peltier ring · tabletop prototype Q4 2026 · wafer scale 2027 · industrial 3D-IC 2029+. Substrate #5 in NWO-ASM. Financed here.

See the ring →

NWO ASI

Casimir-Sonoluminescence · vacuum-field thruster

Autonomous investment pool financing the ASI vacuum-thruster prototype. Same immutable contract on Base — depositing here funds STOC too, and vice-versa.

Open NWO ASI ↗

NWO Metaverse

L6 shared economy · MR/AR

Mixed-reality shared economy with RunPod GPU/CPU dual-pod routing and 4DGS pipeline. Same splitter — one deposit exposes you to all three simultaneously.

Open Metaverse ↗

Why one contract, not three. Fewer contracts means fewer audit surfaces, no incentive to fragment the affiliate graph, and no risk of a "successful" product cannibalising the others. Investors see a single Base mainnet transaction; the smart contract fans out to the four wallets atomically; the affiliate 15% pays out same-tx to the referrer. If any one of STOC/ASI/Metaverse ships and generates revenue, the entire pool benefits.

Contract · immutable · verified

What	Value
Network	Base Mainnet · chain id 8453
Splitter (shared)	0x33c22FE36557Ad13C838A2Eb465510CF173046bc
Settlement token	USDC · 0x8335…2913
Deposit function	deposit() payable · or approve+payForInference()
Split	35% guardian · 35% savings · 30% ops · +15% affiliate (same tx)
Immutability	Verified & unowned · no upgrade key

12 · STOC-QSIM v2.0

Thermodynamic–Quantum Hybrid Simulation Architecture

Realising Feynman's 1982 hardware-inversion principle through the NWO ecosystem. STOC provides the physical continuous-control substrate a quantum computer needs; the QPU keeps the entanglement. An open ISA (NWO-ASM), a RISC-V control core, a MetaState free-energy router, and Base 8453 provenance turn the whole pipeline into a substrate-neutral public good. Hover the rainbow nodes for a summary — click for the underlying engineering, math, and physics.

LIVE · Shipping & observable BETA · With known limitations DESIGN · Specified · not fabricated ROADMAP · Intended · validation pending

System overview · full infographic · magnify + click to zoom

Move cursor over image for magnifier · click to open zoomable inspector

Figure 1 · Full tech-stack flowchart · hover for summary · click for engineering detail

PHYSICAL

Bi₂Te₃ Peltier ring

L0 · Physical substrate. Toroidal Bi₂Te₃ Peltier ring, N phase-shifted junctions, cryogenic package mK–4 K.

DEVICE

STOC ring array

L1 · Device. STOC toroidal array with µthermometers, IR camera, 24-bit phase-locked DAC/ADC, B-field bias 0–10 T.

ISA

NWO-ASM · RV64GC

L2 · ISA / Driver. NWO-ASM custom-0 opcodes, RV64GC binding, DMA queue, low-latency phase drive.

RUNTIME

STOC driver + fit

L3 · Runtime. STOC driver, calibration engine, H(ω,m,T,B) fit, closed-loop control, telemetry.

SCHEDULER

MetaState router

L4 · Scheduler. MetaState free-energy minimisation J = E + λₜτ + λ_ε ε + λ_r R, process-matrix partition, Base 8453 receipts.

COMPUTE

STOC · CPU · GPU · QPU

L5 · Compute planes. STOC analog fields, CPU/GPU digital simulation, QPU true entanglement, cryogenic control plane at µW / mK.

APPS

Quantum simulation

L6 · Applications. Hamiltonian scheduling, pulse shaping (GRAPE, Q-CTRL), open-system Lindblad Lₖ, distributed hybrid federation.

Feynman · Simulating Physics with Computers · IJTP 1982

"Nature isn't classical, dammit, and if you want to make a simulation of Nature, you'd better make it quantum mechanical — and by golly it's a wonderful problem, because it doesn't look so easy."

STOC-QSIM's answer to Feynman: assign every continuous classical variable (Hamiltonian schedule, pulse envelope, dissipation trajectory, bias field) to a physical thermodynamic substrate that natively obeys those dynamics — and reserve genuine quantum degrees of freedom for a real QPU. The hardware, not the software, carries the physics.

Figure 2 · Quantum computer cutaway showing the STOC toroidal ring integrated at the 10 mK base stage as a µW-power control plane. Nature computes nature natively.

L0 · L1 · Physical and device layer

Toroidal Peltier ring primitive

Phase-shifted current drive

STOC ring drive

N Bi₂Te₃ Peltier junctions on a toroidal ring, each driven by a sinusoid phase-shifted 2π/N from its neighbour. The composite drive is a rotating thermal field of azimuthal mode m.

Iᵢ(t) = I₀ · cos(2π·i/N − ω·t)

T(θ,t) = T̄ + δT · cos(m θ − ω t)

DESIGN

Material stack · Bi₂Te₃ @ 300 K

Thermoelectric parameters

Seebeck S200 µV/K

Elec. cond. σ1.0×10⁵ S/m

Therm. cond. κ1.5 W/mK

Density ρ7700 kg/m³

Heat cap. c_p200 J/kgK

Fig. of merit ZT*≈ 1.0

Cryogenic package

mK–4 K operation

Dilution refrigerator with staged shields at 4 K, 1 K, 100 mK, 10 mK base. The STOC ring sits at the base stage as the QPU control plane, dissipating <1 µW/channel.

Base stage10 mK

Control power< 1 µW

B-field bias0 – 10 T (Nernst)

DESIGN

Physical model

Driven-diffusion transfer function H(ω, m, T, B)

First-order energy balance

Heat equation with distributed sources

For a driven thermoelectric ring of radius R with areal heat capacity C_A and effective thermal conductance K_A, the energy balance is a driven diffusion:

C_A · ∂T/∂t = (K_A/R²) · ∂²T/∂θ² + q(θ,t) − q_loss(T)

The apparent traveling temperature pattern is not a lossless wave — it is the phase-lagged response of an actively-driven diffusive medium. Amplitude, phase lag, and time constant τ_m ~ R²/(α m²) are the measurable quantities.

Complex mode response

Steady-state m-th mode amplitude

With harmonic forcing q = Re{q_m·e^(i(mθ−ωt))} and linear loss q_loss ≈ G(T−T₀):

T_m(ω) = q_m / [G + K_A·m²/R² − i·ω·C_A]

Higher m modes are more strongly damped. Coefficient-of-performance analysis picks m = 1 as the optimum operating point (pending experimental identification of H).

Optimal modem = 1

Damping ~m²

End-to-end hybrid execution pipeline

From drive to on-chain receipt

1 · Drive

Phase-shifted current

Iᵢ(t) = I₀·cos(2π·i/N − ωt) — the STOC ring driver assembles the drive waveform per NWO-ASM instruction.

→

2 · Response

Thermodynamic field

Driven diffusion produces the T(θ,t) mode field; the calibration engine fits H(ω,m,T,B) from IR/µthermometry.

→

3 · Signals

Calibrated amplitudes

Amplitudes and phases are corrected against the identified transfer function and delivered as control channels.

→

4 · Scheduler

MetaState router

Substrate-neutral cost J = E + λₜτ + λ_ε ε + λ_r R decides STOC / CPU / GPU / QPU routing per sub-problem.

→

5 · Hybrid

Compute planes

STOC generates λ(t); CPU/GPU carry digital simulation; QPU realises U(t) = exp[−i·∫H(λ(t))dt/(h/2π)].

→

6 · Evolution

Quantum unitary

Genuine quantum degrees of freedom evolve on the QPU under the STOC-generated schedule.

→

7 · Measure

Fidelity, telemetry

Shot statistics, fidelity metrics, and thermodynamic telemetry stream back to the runtime.

→

8 · Update

MetaState update

J is updated with measured E, τ, ε, R; next iteration is scheduled. Base 8453 receipt is committed.

L2 – L6 · Full technology stack

The nine-layer NWO integration

L2 · ISA / Driver

NWO-ASM ops

Custom-0 opcodes bound to RV64GC: stoc.init, stoc.load, stoc.set.mode, stoc.set.freq, stoc.oscillate, stoc.read, stoc.fit, stoc.route, stoc.commit.

BETA

L3 · Runtime

Driver + calibration

STOC driver with DMA queue, closed-loop calibration against H(ω,m,T,B), provenance tags per experiment_id, telemetry (T, B, P, drift).

BETA

L4 · Scheduler

MetaState router

Free-energy minimisation over the substrate-neutral cost model. Process-matrix partitioning maps sub-problems to the best-fit plane. Receipts settle on Base 8453 via the shared MetaStateSplitter.

J = E + λₜ·τ + λ_ε·ε + λ_r·R

LIVE

L5 · Compute planes

Four substrates

STOC — analog thermodynamic control fields
CPU — digital sequential simulation
GPU — tensor contractions, sampling
QPU — true quantum entanglement

DESIGN

L6 · Applications

Quantum simulation

Hamiltonian scheduling, pulse shaping (GRAPE, Q-CTRL), open-system evolution (Lindblad Lₖ), distributed hybrid quantum-classical simulation.

BETA

Ecosystem · integration

NWO deployment

Static HuggingFace Space, Cloudflare Worker backend, low-latency APIs. Immutable experiment IDs and results receipts anchored to Base 8453.

LIVE

Energy & cost model · MetaState J

Substrate-neutral free-energy minimisation

Cost function

Weighted objective

J = E + λ_t·τ + λ_ε·ε + λ_r·R

Where E is energy, τ is latency, ε is error / infidelity, and R is a resource penalty (e.g. QPU cryostat budget or wall-clock quota). The Lagrange weights are set per-job and default to λ_t = 1.0, λ_ε = 10.0, λ_r = 0.1.

λ_t (latency)1.0

λ_ε (error)10.0

λ_r (resource)0.1

Router decisions

Fraction of workload by substrate

At small problem scales the router prefers the CPU / GPU; as scale grows, STOC absorbs continuous control while the QPU takes on entanglement-limited fragments.

Expected energy advantage

Energy to solution vs. classical / QPU-only

E-to-solution (J) vs problem scale

Modelled scaling

The hybrid advantage is largest where the workload is control-heavy (pulse optimisation, QPU calibration) and vanishes for pure entanglement-dominated circuits, which stay on the QPU.

Key system metrics · target

Typical envelope

End-to-end latency10 µs – 100 ms (adaptive)

Energy per control step10 nJ – 10 µJ

Control power @ 10 mK< 1 µW

Fidelity (QPU)99.0 – 99.99%

Calibration update rate1 – 100 Hz

Thermal-field bandwidth1 Hz – 10 MHz

Modes supported (m)1 – 1000+

Thermal drift< 1 mK / 10 min

DESIGN target

Hybrid control loop · closed

Measure · Model · Plan · Act · Learn

Measure

IR camera, µthermometers, SQUIDs — return T(θ,t), amplitudes A_m, phase φ_m, power P(t), and QPU fidelity.

Model

Update H(ω, m, T, B) via stoc.fit. Refine open-system Lindblad model from measured decoherence.

Plan

Re-solve MetaState J for the next control step. Route to STOC / CPU / GPU / QPU per free-energy minimum.

Act & learn

Emit new drive via stoc.oscillate. Commit results receipt via stoc.commit on Base 8453.

Game theory · cryogenic bottleneck & monopoly risk

How STOC-QSIM alleviates the quantum-computing monopoly

T₁ · Monopoly rent

A single dominant QPU vendor extracts supra-competitive rent on scientific access; academic and low-margin industrial users are priced out.

T₂ · Cryptographic asymmetry

If Shor-class capability arrives inside a closed jurisdiction, the vendor and its state sponsor gain unilateral decrypt/forge power. Post-quantum migration lag becomes a geopolitical vulnerability.

T₃ · Standards capture

A closed control stack (proprietary pulse ISA, closed calibration data, opaque compiler) produces switching costs high enough to lock scientific communities in long after better hardware appears.

T₄ · Cryogenic bottleneck

Dilution refrigerators and the mW-scale control wiring feeding them are the physical constraint that most limits qubit counts. Whoever owns that supply chain owns the scaling curve.

How STOC-QSIM changes the game

Open ISA

NWO-ASM and the stoc.* opcodes are specified publicly on the nwo.stoc Space. No proprietary control language to license.

Commodity substrate

Bi₂Te₃ Peltier rings, RV64GC cores, Cloudflare Workers, HuggingFace Spaces — all commodity, all available in every open-web jurisdiction.

µW cryogenic budget

A STOC control plane at mK–4 K dissipating microwatts rather than hundreds of milliwatts relieves the cryogenic bottleneck and lets QPU vendors scale qubit count independently of control-wire heat.

On-chain provenance

Base 8453 receipts through the MetaStateSplitter give users cryptographic evidence of what was run, on which substrate, with which calibration.

Substrate neutrality

The MetaState router migrates a workload between QPU vendors — or between QPU and GPU+STOC fallback — in a single NWO-ASM line. Switching cost collapses.

Geopolitical implication

Cryptographically-relevant capability distributed across many providers, all reachable through a common open substrate, priced near marginal cost — the definition of a stability-enhancing technology.

Non-proprietary · Open source · RISC-V

Everything runs on open standards

Instruction set

RISC-V + RV64GC

Open ISA, royalty-free, multiple silicon vendors.

Substrate contract

NWO-ASM · Open ISA

Custom-0 opcodes documented on nwo.stoc.

Hardware

Open thermal substrate

Bi₂Te₃ Peltier rings — commodity thermoelectric stock.

Science

Open · reproducible

Papers on ResearchGate, provenance on Base 8453.

Reference · reading

Read the full paper

The full theoretical framework, mathematical derivations, and game-theoretic analysis are in the STOC-QSIM v2.0 paper. Companion podcast, PDF, and ResearchGate preprint are on the Paper · Podcast page.

ResearchGate ↗

13 · Paper VI · v1.0-DESIGN

STOC QUANTUM COMPUTING

A thermodynamic field substrate for bounded-capacity hybrid quantum processors

Hero · Thermodynamic quantum field · rendered from live STOC-QC simulation · nwo.stoc

STOC Quantum Computing (STOC-QC) extends the STOC-QSIM programme from a control-plane accelerator into a full thermodynamic-quantum computational medium. A programmable Peltier substrate, an engineered phononic + topological quantum layer, an open NWO-ASM ISA on commodity RISC-V silicon, and a MetaState free-energy scheduler J_Q jointly engineer the quantum Hamiltonian H(λ), the environmental spectral density J(ω), and the Lindblad dissipators L_k that stabilise entangled states through reservoir engineering. The framework is designed to be robust under both standard asymptotic-scaling and Palmer's Rational Quantum Mechanics (RaQM) bounded-Hilbert-space scenarios.

LIVE · Shipping & observable BETA · Known limitations DESIGN · Specified · not fabricated ROADMAP · Validation pending

Figure 1 · Full technical & engineering stack · nine layers L0 → L8 · hover for summary · click for detail

MATERIALS

Bi₂Te₃ · Bi₂Se₃

L0 · Materials. Bi₂Te₃, Bi₂Se₃, MnBi₂Te₄, MBE nanowires, TI/SC heterostructures.

GEOMETRY

18-entry library

L1 · Geometry. Torus, spiral, Möbius, honeycomb, kagome, Lieb, racetrack, phononic crystal — each a distinct Laplacian eigenbasis.

FIELD DRIVE

T · B · E · μ · ε

L2 · Field drive. Programmable STOC field vector X(r,t): temperature, magnetic, electric, chemical potential, strain, phonon, carrier density, SC phase.

DEVICE

STOC-TE + STOC-Q

L3 · Device. Thermoelectric actuator (STOC-TE) separated from quantum material (STOC-Q); Nb/Al/NbTiN Josephson layer, InAs/InSb quantum dots.

ISA

NWO-ASM ext.

L4 · ISA. Extended NWO-ASM: stoc.field.set, stoc.reservoir.*, qstate.*, qgate.geometric, qthermo.*, qoptimize.* on RV64GC custom-0.

RUNTIME

reservoir + Floquet

L5 · Runtime. H(ω,m,T,B) fit, reservoir engine (J(ω), L_k), Floquet driver, Berry-loop executor, closed-loop control.

SCHEDULER

MetaState J_Q

L6 · Scheduler. J_Q = w_EE + w_ττ + w_εε + w_RR + w_FF + w_DD(ρ‖ρ_target) − w_ℰℰ · maximise entanglement, minimise entropy production.

COMPUTE

bounded QPU

L7 · Compute. STOC-QX field · CPU · GPU · bounded QPU (200–1000 qubits per RaQM). Cryogenic control plane at µW / mK.

APPS

reservoir gates

L8 · Apps. Reservoir gates, thermodynamic holonomic gates, H(λ) scheduling, Lindblad L_k open-system simulation, distributed QPU/STOC federation.

Palmer (2020) · Rational Quantum Mechanics — gravity-induced discrete Hilbert space

"If the monolithic-QPU roadmap has a physical ceiling at roughly 200–1000 qubits, the strategic value of a programmable thermodynamic co-processor around that ceiling becomes permanent, not transitional. STOC-QC is the framework we propose to occupy that ceiling."

Section 2 · RaQM and the bounded-QPU regime

Effective computational reach vs qubit count

Scaling comparison

Four regimes on one axis

Classical 2ⁿ storage becomes intractable near n≈300. Standard QPU roadmaps assume asymptotic scaling; RaQM predicts a saturation plateau at 200–1000 qubits; STOC-QX hybrid extends effective reach through reservoir engineering rather than qubit-count growth.

Strategic implications

Architectural pivot under RaQM

QPU scaling goalBounded 200–1000 qb

Primary bottleneckInfo-capacity limit

Hybrid rolePermanent co-processor

Config F/G targetDense mid-scale QPUs at ceiling

Config B–E valueLong-term thermodynamic substrate

Config A empirical useProbe RaQM ceiling directly

Public-good outcomeOpen bounded-QC infrastructure

Section 3 · Peltier geometry library on microscopic scales

18 distinct Laplacian eigenbases

Each geometry is a different thermal graph Laplacian L_T, and therefore a different modal basis. The single-ring case recovers azimuthal Fourier modes e^{i m θ} as a special case. Different geometries yield qualitatively different environmental spectral densities J(ω) at the quantum layer.

Torus S¹×S¹

m-angular Fourier

Split ring

Asymmetric standing

Concentric rings

Radial × angular

Spiral

Travelling modes

Racetrack

Localised travelling

Radial spokes

Central-radial

Honeycomb

Dirac-cone network

Kagome

Flat-band frustrated

Lieb lattice

Sublattice + flat

Möbius ring

Twisted boundary

Chiral ring

Nonreciprocal

Bilayer ring

Symmetric / anti

3D toroidal lattice

Volumetric

Peltier metasurface

Spatial Fourier

Quantum-dot thermopile

Energy-filtered

Phononic crystal

Bandgap modes

SC/TI ring

Josephson topol.

Nanowire network

Landauer channels

Section 4 · Physical framework

STOC-QX field equations and open-system dynamics

Generalised STOC field vector

Coupled reaction-diffusion

X(r,t) = [T, φ_E, B, μ, ε_ij, u_ph, n_e, φ_J]ᵀ

∂X/∂t = D·∇²X + A·X + B·u(t) + N(X)

A single scalar temperature field is replaced by a coupled 8-component vector field capturing every thermodynamic degree of freedom the substrate can address. u(t) is the programmable STOC drive.

Driven-diffusion transfer function

Steady-state m-th mode

C_A·∂T/∂t = (K_A/R²)·∂²T/∂θ² + q(θ,t) − q_loss(T)

T_m(ω) = q_m / [G + K_A·m²/R² − i·ω·C_A]

Higher m modes damp as m². The apparent traveling temperature is the phase-lagged response of a driven diffusive medium, not a free wave.

Lindblad dynamics — STOC-controlled Hamiltonian & dissipators

Master equation

dρ/dt = −(i/ℏ)[H(λ), ρ] + Σ_k Γ_k(λ,T,B,ω)·D[L_k]ρ

D[L]ρ = LρL^† − ½{L^†L, ρ}

The STOC controller sets λ = f(T, B, E, μ, ε, Φ, ω, m, geometry). Both the Hamiltonian AND the environmental couplings are programmable.

Reservoir engineering — the key mechanism

Dark-state stabilisation

L = √Γ · (σ₁⁻ + e^iφ σ₂⁻)

|Ψ⁻⟩ = (|01⟩ − |10⟩)/√2 (dark state)

An appropriately-configured phononic-crystal + Peltier + SC stack can stabilise the singlet as the steady state of dissipative dynamics. Recent SC experiments have achieved this with ~90.8% fidelity.

Section 4.4 · New figures of merit

Quantum thermoelectric quality

Classical baseline

ZT

ZT = S²σT / κ

Standard thermoelectric figure of merit — Seebeck coefficient S, electrical conductivity σ, temperature T, thermal conductivity κ. Agnostic to quantum use.

Quantum-thermodynamic quality

ZT_Q

ZT_Q ≡ ZT · χ_H² / Γ_decoh

Hamiltonian modulation authority per unit decoherence. χ_H = (∂H/∂T, ∂H/∂B, ∂H/∂ε, ∂H/∂μ) is the susceptibility tensor.

Operational metric

Q_STOC

Q_STOC ≡ |∂J_ij/∂T| / (Γ_φ + Γ₁)

Two-body entangling authority per unit total dephasing plus relaxation — the tightest bench-testable metric of an STOC-QC substrate.

Section 4.7 · Entanglement efficiency

η_ent — engineered dissipation as a resource

Four-architecture comparison

Entanglement per control energy

STOC-QX full — combining thermodynamic modulation with engineered reservoirs — is the target regime; individual ingredients (STOC-TE only, reservoir only) show partial gains but underperform the composite.

Router decisions under RaQM

Fraction of workload by substrate

At small problem scales the router prefers CPU/GPU. As scale approaches the RaQM ceiling, STOC absorbs continuous control while the bounded QPU takes on entanglement-limited fragments.

Section 5 · Material stack & fabrication

Six layers · STOC-TE actuator separated from STOC-Q quantum material

L1 · STOC-TE actuator

Thermoelectric drive

Bi₂Te₃, (Bi,Sb)₂Te₃, Mg₃(Bi,Sb)₂, SnSe, nanostructured tellurides. Room-temperature benchmark.

DESIGN

L2 · Topological / TI

Spin-polarised surface

Bi₂Se₃, Sb₂Te₃, MnBi₂Te₄, TI/SC heterostructures. Provides Berry-phase substrate.

DESIGN

L3 · Superconducting

Nonlinear quantum DOF

Al, Nb, NbTiN with Josephson junctions. E_J(Φ) = E_J,max|cos(πΦ/Φ₀)|.

DESIGN

L4 · Phononic crystal

J(ω) engineering

Si/SiN membranes, ~20 nm features, 50–70 GHz bandgap. Literature: ~18× phonon-relaxation reduction.

DESIGN

L5 · Quantum dots

Filtered reservoirs

InAs/InSb dots with energy-selective barriers. Sharp transmission functions T(E) at cryogenic temperature.

DESIGN

L6 · Interconnect

Wafer-scale integration

Cu/W TSVs, superconducting flip-chip bumps, optical fibres for cryogenic-to-warm signal transport.

ROADMAP

Section 6 · Nine configurations A–I

From coprocessor to distributed federation

Config A · ~10% thermal

RV Core + STOC coprocessor

Custom-0 opcodes. Digital host + analog accelerator. Prototype 1.

Config B · 10–20%

Peltier thermal L2 cache

Low-latency thermal-state reuse, 10× lower leakage power.

Config C · 20–30%

STOC-based integer ALU (Zstoc-alu)

Ring-superposition addition & phase-convolution multiplication.

Config D · 10–15%

STOC persistent memory

MAP_THERMAL allocator, non-volatile phase memory (PCM substitute).

Config E · 15–25%

STOC ring interconnect

Directory protocol via phase pulses, multi-core cache coherence.

Config F · 95–100%

Fully thermal RISC-V

Full ISA emulation, µW cryogenic control planes, rad-hard compute.

Config G · variable

Distributed RV+STOC swarm

Edge-AI sovereign compute swarm, runtime mesh routing.

Config H · variable

STOC-QX + CPU/GPU + bounded QPU

Full hybrid thermodynamic-quantum stack. Target system.

Config I · variable

Distributed STOC-QX / QPU federation

Multi-node orchestration across sovereign clouds. Future.

Section 7 · NWO-ASM ISA extensions

From thermal-control to quantum-field-control ISA

Existing STOC substrate contract (v1.0)

Base opcodes

stoc.init   ring_id, calib_id
stoc.load   addr, vector
stoc.set.mode m, direction
stoc.set.freq w
stoc.oscillate A, phi, dur
stoc.read   rd, imm
stoc.fit   window, model
stoc.route backend
stoc.commit experiment_id
stoc.sign rd   ; Ed25519 provenance

STOC-QC extensions (v1.0)

Field · reservoir · quantum

stoc.field.set T|B|E|strain|mu
stoc.mode.select m
stoc.mode.superpose m1..mk, weights
stoc.reservoir.set L_k, gamma_k
stoc.reservoir.filter J_omega
qstate.prepare state_id
qstate.evolve H_id, dt
qstate.measure obs_id, shots
qgate.geometric loop_id ; Berry
qgate.entangle (i,j), theta
qthermo.entropy rd
qthermo.free_energy rd
qthermo.entanglement rd
qoptimize.target rho_target

Section 9 · Supply chain & bill of materials

Commodity where possible · exotic only where irreplaceable

Supply-chain map

Six critical inputs

Bi₂Te₃ ingot & waferCN dominant · JP / DE alt.

MBE nanowire growthEU / US / JP / KR — high sub.

Phononic-crystal lithoEU shuttle · US (Sandia, IBM)

Nb/Al/NbTiN sputterMature SC foundries

Dilution refrigeratorBottleneck · 4 vendors

RISC-V siliconVery high sub. · open ISA

Base 8453 anchoringDecentralising L2

STOC-QC's µW cryogenic control plane materially reduces exposure to the dilution-refrigerator bottleneck by relaxing the wiring heat budget by ~1000×.

Illustrative BOM · Config H rack unit

~$381k · DESIGN-tier

Bi₂Te₃ nanowire wafer (×2)$6,800

Phononic-crystal Si (×4)$7,600

Josephson QPU chip (≤400 qb)$85,000

Nb/NbTiN sputter run$4,500

Dilution fridge$220,000

Cryogenic wiring$18,000

RV64GC board + FPGA (×2)$4,800

NWO-ASM runtimeOpen source · $0

Assembly + calibration$34,000

Total (rack unit)$380,700

Section 10 · Market analysis & go-to-market

Six tiers · edge to sovereign

TAM per tier (log-USD)

Log-scale total addressable market

Edge and rack tiers ship first; sovereign-nation tier is a strategic long-horizon target driven by post-quantum sovereignty requirements.

Year 1 · 2026 Q3 – 2027 Q2

Tier 1 edge devices

Config A to NWO Robotics field customers. Papers V–VII on ResearchGate. nwo.stoc reference impl.

Year 2 · 2027

Tier 2 rack + Tier 4 retrofit

First rack units to European universities + national lab. Config B benchmarking. First cryo control-plane retrofit for QPU vendor.

Year 3 · 2028

Tier 3 lab instruments

Config D persistent thermal-phase memory disclosure. Tier 4 licensed to two QPU OEMs.

Year 4 · 2029

Tier 5 datacentre pod

Config H pilot with sovereign cloud partner. First Tier 6 distributed federation experiment.

Year 5+ · 2030+

Tier 6 sovereign nation

Commodity infrastructure. NWO-ASM standards work — ISO/IEC candidate open ISA.

Long horizon

Public-good outcome

Bounded quantum capability distributed across many providers, priced near marginal cost, reachable through a common open substrate.

Section 11 · Game theory of the STOC-QC landscape

Six threats · six engineered mitigations

T₁ · Monopoly rent

Dominant QPU vendor extracts supra-competitive rent on scientific access; academic and industrial users priced out.

T₂ · Cryptographic asymmetry

Shor-class capability inside a closed jurisdiction confers unilateral decrypt/forge power; post-quantum migration lag is a geopolitical vulnerability.

T₃ · Standards capture

Closed pulse ISA + calibration data + compiler generates switching costs high enough to lock scientific communities in.

T₄ · Cryogenic bottleneck

Dilution refrigerators and mW control wiring are the physical constraint that most limits qubit counts. Whoever owns that supply chain owns the scaling curve.

T₅ · RaQM denial

An incumbent with sunk costs in an infinite-scaling narrative may deny or delay recognition of a physical ceiling to preserve equity value.

T₆ · Export & ITAR

Cryogenic quantum systems and topological materials are candidates for dual-use export control; a closed supply chain becomes a lever of foreign policy.

How STOC-QC changes the game

Open ISA

NWO-ASM · stoc.* · qstate.* · qgate.* · qthermo.* opcodes specified publicly. No license.

Commodity substrate

Bi₂Te₃ Peltier rings, RV64GC silicon, Cloudflare Workers, HuggingFace Spaces — all commodity in every open-web jurisdiction.

µW cryogenic budget

Config F control plane at 10 mK dissipates µW rather than hundreds of mW — relieves T₄ and lets QPU vendors scale within the RaQM ceiling.

On-chain provenance

stoc.commit → Base 8453 receipt via MetaStateSplitter gives cryptographic evidence of what ran on which substrate with which calibration. Direct counter to T₃.

Substrate neutrality

MetaState router migrates a workload between QPU vendors — or between QPU and CPU/GPU+STOC — in a single NWO-ASM line. Switching cost collapses; T₁ evaporates.

Falsifiability of RaQM

Config A high-precision empirical testbed lets STOC-QC directly probe the RaQM ceiling. Whichever way physics resolves, same hardware serves — defuses T₅.

Section 13 · Six-stage experimental roadmap

From thermal ring to reservoir-engineered entangled state

Stage 1 · Thermal

N = 8, 16, 32, 64 rings

Measure H(ω, m, T, B). Consistent with STOC-QSIM v1.0 Phase 1.

Stage 2 · Nanoscale

Geometry variants

Ring, split-ring, spiral, honeycomb, phononic-crystal. Measure T, E, B, κ(ω), S(ω), T(E).

Stage 3 · Quantum acoustic

Mechanical resonator

Couple to mechanical mode. Target ≥5× phonon-relaxation reduction (literature: ~18×).

Stage 4 · Single qubit

Full STOC control

Measure ω_q(T,B,ε), T₁(T,B,ε), T₂(T,B,ε). First χ_H demo.

Stage 5 · Two qubits

Entangling gate

Measure J₁₂(T,B,ε,μ). Attempt U_ZZ = exp(−i θ Z₁Z₂). Measure concurrence.

Stage 6 · Reservoir engineering

Dark-state stabilisation

Build L = √Γ(σ₁⁻ + e^iφσ₂⁻). Stabilise |Ψ⁻⟩. Decisive experiment.

Reference · reading

Read the full paper

The complete theoretical framework, mathematical derivations, supply-chain and go-to-market analysis, and game-theoretic threat model are in the STOC Quantum Computing paper. Companion podcast, PDF, and ResearchGate preprint are on the Paper · Podcast page.

ResearchGate ↗

14 · Paper VII · v1.0-DESIGN

STOC QUANTUM COMPUTER

A manufacturable thermodynamic-Casimir quantum device · six deployment tiers from desk to orbit

Hero · STOC-QComp device cutaway · Casimir cavity + bounded QPU + thermodynamic control · nwo.stoc

STOC Quantum Computer (STOC-QComp) closes the last gap in the STOC ecosystem: the transition from framework to manufacturable device. It integrates the STOC-QSIM v2.0 µW control plane, the STOC Quantum Computing reservoir-engineering framework, and Palmer's Rational Quantum Mechanics bounded-Hilbert-space hypothesis (200–1000 qubits) with three new elements — an integrated Casimir cavity (Au-SiN-Au plates at 40–400 nm gap) as a programmable vacuum-energy reservoir, a full nine-stage manufacturing pipeline from Bi₂Te₃ ingot to packaged cryogenic device, and six deployment tiers sized from a $32k personal desk unit to a $3.2B orbital platform.

LIVE · Shipping & observable BETA · Known limitations DESIGN · Tiers T1–T3 ROADMAP · Casimir + T4–T6

Figure 1 · Full device manufacturing & deployment stack · nine layers L0 → L8 · hover for summary (shown below node) · click for engineering detail

MATERIALS

Bi₂Te₃ · Au · Nb

L0 · Materials. Bi₂Te₃/Bi₂Se₃ thermoelectric ingot, Au + SiN for Casimir plates, Nb/Al/NbTiN superconductors, phononic Si.

FAB

MBE + EBL

L1 · Fab. MBE nanowires (40×40×900 nm), e-beam lithography (20 nm phononic), sputter deposition, cryo-bonding. EU/US/JP shuttle runs.

WAFER

300 mm + Casimir

L2 · Wafer. 300 mm wafer with ring array (toroidal Peltier), phononic membrane, integrated Casimir cavity. MEMS + SC foundry.

PACKAGE

flip-chip + TSV

L3 · Package. Flip-chip Nb bumps, TSV interposer (4-layer), cryo-hermetic seal, µ-metal magnetic shield. HBM-class stack.

CONTROL

RV64GC + NWO-ASM

L4 · Control. RV64GC + STOC custom-0 opcodes, NWO-ASM ISA extended with stoc.casimir.* + device.*, 24-bit DAC/ADC, Base 8453 receipts.

CRYO

10 mK base

L5 · Cryo. Dilution stage 10 mK base, µ-metal shield, gyro-stabilised vibration mount < 10 nm rms. Bluefors / Oxford / Zero Point.

CASIMIR

40–400 nm gap

L6 · Casimir cavity. Au-SiN-Au plates at 40–400 nm separation, piezo actuation, capacitive readout. Programs J(ω,d) via d(t) — new control axis.

QPU

bounded 200–1000

L7 · QPU. Bounded Josephson QPU (200–1000 qb per Palmer RaQM), readout cavity, MetaState J_QC scheduler with Casimir E_d term.

DEPLOY

6 tiers · desk → orbit

L8 · Deploy. Six tiers: T1 Personal · T2 Business · T3 Industrial · T4 Subsea/Subterranean · T5 Sea/Mobile · T6 Space/Orbit.

Total device Hamiltonian · STOC-QComp v1.0

"H_tot = H_Q + H_STOC(λ) + H_Cas(d) + H_int — A Peltier substrate programs H(λ). A Casimir cavity (40–400 nm) programs the vacuum J(ω,d). Together they set both the qubit Hamiltonian AND the Lindblad dissipators {Γ_k, L_k}. Nature evolves. STOC engineers what nature listens to."

Section 2 · Casimir Hamiltonian & force scaling

The new vacuum-energy control axis d(t)

Zero-point energy per unit area

Casimir Hamiltonian

E_Cas(d) = − (π² ℏ c) / (720 d³) · A

F_c(d) / A = − (π² ℏ c) / (240 d⁴)

At d = 100 nm this gives ~ 1.3 mN/m². Two parallel Au-coated SiN plates at 40–400 nm separation modulate the quantum-vacuum energy density between them; d(t) becomes a first-class control degree of freedom.

Force scaling chart

|F_c(d)| vs plate separation

STOC-QComp operates in the 40–400 nm band where F_c is measurable but d(t) actuation remains possible. Below 40 nm: van-der-Waals dominates. Above 400 nm: F_c too small for useful J(ω) modulation.

Position-dependent spectral density

How d(t) shapes J(ω)

J_Cas(ω, d) = J₀(ω) · [1 + Σ_n g_n(ω) · δ(ω − nπc/d)]

The sum is over Casimir cavity resonances at ω_n = nπc/d. Modulating d(t) shifts and reweights these Dirac deltas — the mechanism by which STOC-QComp gains a reservoir-engineering axis beyond STOC alone.

Plate equation of motion

Actuated dynamics

m_p d̈ = − F_c(d) − k(d − d₀) − γ ḋ + u_d(t)

STOC-programmable actuation u_d(t) drives the plate against the Casimir attraction, the spring restoring force, and damping. Exposed to the ISA as stoc.casimir.set / .oscillate / .read.

Section 3 · Full device master equation

Both H(λ) and {Γ_k, L_k} programmable — plus d

Lindblad with STOC + Casimir control

Open-system evolution

dρ/dt = −(i/ℏ)[H_tot(t), ρ] + Σ_k Γ_k(λ, d, T, B, ω) · D[L_k] ρ

Dissipation rates now depend on both the STOC control vector λ and the Casimir separation d. This is the mathematical statement of what STOC-QComp adds: one additional physical control axis (d) that couples independently to the reservoir structure. Extended MetaState cost:

J_QC = w_EE + w_ττ + w_εε + w_RR + w_FF + w_DD(ρ‖ρ_target) − w_ℰℰ + w_d·E_d(u_d)

Section 5 · Six deployment tiers

Same bounded QPU · six environmental packages

Log-scale unit price vs tier

Tier sizing chart

Personal desk unit (~$32k) through orbital platform (~$3.2B). All tiers operate at the RaQM ceiling because the ceiling is physics, not engineering.

T1 · $25k – $80k

Personal quantum computer

Academic office / bench. 4 K pulse-tube cryostat (not full dilution). 200–400 qubits. Fidelity 99.0%. Ships as 0.6 × 0.6 × 1.2 m rack-mount. 180 kg. 800 W. 8 h cool-down.

T2 · $150k – $1.5M

Business quantum computer

SME / R&D lab / academic group. Full dilution to 10 mK. 300–600 qubits + Casimir cavity. Two-rack unit. 3–5 kW. 24 h cool-down. Target 1,000 units/yr by 2028.

T3 · $1.5M – $12M

Industrial quantum computer

Factory floor · pharma · aerospace. Vibration isolation 10 nm rms, B-field < 0.1 nT, 24/7 uptime. Container 2 × 6 m. 10–30 kW. Monthly on-site recalibration.

T4 · $8M – $80M

Subsea / Subterranean

Offshore rig · seismic · deep-mine physics · nuclear. Pressure vessel (60 MPa @ 6 km subsea), EMP hardened (100 kV/m), 5+ yr unattended. Cosmic-ray muon flux 10⁴× shielded → +0.7% fidelity.

T5 · $18M – $400M

Sea / Mobile

Naval · autonomous surface · mobile command post. Salt-spray, 3g impulse, MIL-STD-810 qualified. Tri-axial gyro-stabilised cryogenic mount. Deployable on 40 m+ hulls.

T6 · $300M – $3.2B

Space / Orbit

Satellite · station · deep probe. Rad-hard Ta/W shield (~50 kg), passive rad to 40 K + active dilution to 10 mK, launch-qualified (14 g, 20 g²/Hz). GEO gives +1.1% fidelity, jurisdiction-neutral crypto.

Section 7 · Environmental physics per tier

Cosmic-ray, B-field, vibration — quantified gain per tier

Environmental noise budgets

Per-tier fidelity vs baseline

T1 Personal (surface)baseline · ~100 nT · ~1 µm rms · 100% muons

T2 Business (rack)+0.1% · ~10 nT · ~200 nm rms · 100% muons

T3 Industrial (isolated)+0.3% · <1 nT · <10 nm rms · 100% muons

T4 Subsea 6 km+0.5% · ~1 nT · ~50 nm rms · 0.1% muons

T4 Subterranean 4 km+0.7% · ~0.5 nT · ~10 nm rms · 0.01% muons

T5 Sea / Mobile−0.2% · ~10 nT · ~5 µm rms (gyro) · 100% muons

T6 Space / LEO+0.9% · ~0.1 nT · <1 nm rms · 50% muons

T6 Space / GEO+1.1% · <0.01 nT · <0.1 nm rms · rad-hard

The strong result: subterranean and deep-space tiers deliver measurable fidelity gains. Cosmic-ray muons cause ~1 correlated error per hour per qubit at surface; shielding 10⁴× (deep mine) or leaving the atmosphere is one of the few environmental interventions that reliably improves quantum coherence.

Section 4 · Nine-stage manufacturing pipeline

Every stage maps to an existing industrial process

L0 Materials · >99% yield

$1.2k – $18k

Bi₂Te₃/Bi₂Se₃ ingot, Au/SiN Casimir, Nb/Al/NbTiN, phononic Si. Commodity supply.

L1 Fab · 60–90% yield

$14k – $85k

MBE nanowires, e-beam litho, sputter dep, cryo bond. EU/US/JP shuttle runs (IMEC, Fraunhofer, Sandia).

L2 Wafer · 70–92% yield

$45k – $280k

300 mm wafer + toroidal ring array + phononic membrane + integrated Casimir cavity. MEMS + SC foundry.

L3 Package · >95% yield

$8k – $34k

Flip-chip Nb bumps, TSV interposer 4-layer, cryo hermetic, µ-metal shield. HBM-class packaging.

L4 Control · >98% yield

$3.4k – $12k

RV64GC + STOC custom-0, 24-bit DAC/ADC. SiFive / T-Head silicon. Open ISA, no license.

L5 Cryo · >90% yield

$220k – $1.2M

Dilution stage 10 mK, µ-metal, vibration mount. Bluefors / Oxford / Zero Point / ICEoxford.

L6 Casimir · 60–85% yield

$18k – $80k

Au-SiN-Au plates, piezo actuation, capacitive readout. MEMS pressure-sensor process, growing supply.

L7 QPU · 40–75% yield

$85k – $850k

Bounded Josephson QPU 200–1000 qb, readout cavity. IBM / Google / Rigetti / Origin fab.

L8 Deploy · >99% yield

$4k – $2M

Environmental hardening, transport, install. Aerospace-grade instrument delivery.

Section 6 · Supply chain & T2 BOM

Commodity where possible · route around bottlenecks

Supply-risk map (0-10 scale)

Eight critical inputs

Dilution fridge (9/10) is the dominant single-vendor risk. STOC's µW cryogenic control plane relaxes the wiring heat budget ~1000×, letting closed-cycle and pulse-tube coolers qualify for Tiers 1–2.

Illustrative BOM · Tier 2 · ~400 qb

Total $412,700

Bi₂Te₃ nanowire wafer (×2)$6,800

Phononic Si membrane (×4)$7,600

Josephson QPU chip 400 qb$85,000

Nb / NbTiN sputter run$4,500

Au-SiN-Au Casimir + piezo$18,000

Dilution fridge (4 kW)$220,000

Cryogenic wiring / flex$18,000

RV64GC board + FPGA (×2)$4,800

Vibration + µ-metal shield$14,000

NWO-ASM runtimeOpen source · $0

Assembly + calibration$34,000

Total (T2, ~400 qb)$412,700

Section 9 · NWO-ASM extensions for STOC-QComp

New Casimir + device-lifecycle opcodes

Preserved from STOC-QC (v1.0)

Base substrate contract

stoc.field.set T|B|E|strain|mu
stoc.mode.select m
stoc.reservoir.set L_k, gamma_k
qstate.prepare / evolve / measure
qgate.geometric loop_id ; Berry
qgate.entangle (i,j), theta
qthermo.entropy / entanglement
qoptimize.target rho_target

New STOC-QComp opcodes

Casimir + device lifecycle

stoc.casimir.set   gap_nm, rate_Hz
stoc.casimir.oscillate d0, amp, freq, dur
stoc.casimir.read rd
device.tier.query rd   ; T1..T6
device.env.telemetry rd ; T, B, vib, muon
device.harden.set profile
device.certify   rd   ; MIL-STD, space
device.commit   experiment_id

Section 8 · Integration with the full STOC ecosystem

Nine ecosystem layers · multiplicative, not additive

NWO-ASM · BETA

Open ISA

stoc.* + qstate.* + stoc.casimir.* all one ISA. Custom-0 opcodes on RV64GC. No license.

MetaState · LIVE

Free-energy scheduler J_QC

Casimir E_d actuation term integrated. Base 8453 receipts per routing decision.

STOC-QSIM v2.0 · BETA

Control plane

Handles pulse envelope + Casimir schedule. µW cryogenic control at 10 mK.

STOC-QC · DESIGN

Reservoir engineering

Casimir J(ω, d) plugs into H(λ). Dark-state stabilisation extended with Casimir mode.

Base 8453 · LIVE

Provenance

Every device commit = deterministic replay receipt. Anchored via MetaStateSplitter.

nwo.stoc · LIVE

Reference implementation

Any T1–T6 device fetches its own H(ω,m,T,B) fit from the shared calibration DB.

Section 10 · Four-player market game

Closed I · Open C · Users U · Regulator R

T₁ · Standards capture

Incumbents push proprietary control ISAs into ISO/IEC standards.

T₂ · Cryogenic bottleneck

Dilution-refrigerator supply dominated by 4 vendors globally.

T₃ · Export & ITAR

Cryogenic quantum + topological materials are dual-use.

T₄ · Crypto asymmetry

Shor-class capability inside a closed jurisdiction confers unilateral decrypt/forge.

T₅ · RaQM denial

Incumbents with sunk costs in infinite-scaling deny the Palmer ceiling.

T₆ · Casimir fab risk

Au-SiN-Au plates at 40–400 nm new for commodity MEMS shops.

How STOC-QComp defends against each

Open NWO-ASM

Public spec on nwo.stoc. stoc.casimir.* + device.* documented, reference-implemented.

µW cryogenic budget

1000× wiring heat relief lets closed-cycle + pulse-tube coolers qualify for T1–T2.

Domestic BOM

Full stack routable through EU / US / JP / KR / CN with Bi₂Te₃ substitution paths.

T6 space

Orbital STOC-QComp = jurisdiction-neutral cryptographic platform.

Config A testbed

High-precision variants directly probe the RaQM ceiling. Falsification-designed.

MEMS mapping

Casimir cavity fab maps onto existing pressure-sensor + RF-MEMS techniques.

Section 11 · Wavefunction collapse in the STOC-QComp regime

Engineered collapse — an epistemic reading

The STOC-QComp claim

When the environment is programmable

The Lindblad dissipators {L_k} are set by the operator, not by nature alone. The Casimir cavity d(t) programmes which vacuum modes are available to receive quantum information. Every choice is recorded on Base 8453 with a cryptographic experiment_id.

Therefore, in the STOC-QComp regime, the environment is no longer epistemically inaccessible. The substrate has read/write access to it. The apparent randomness of the Born rule reflects information unavailable to the observer in the moment of measurement — but that information is fully present in the substrate's control record.

Engineered collapse — three statements

Empirically testable framework

(i) Born probabilities computable from H_tot, ρ(0), reservoir spec

(ii) Randomness ≡ sub-substrate DOF not resolved

(iii) Refining reservoir spec → entropy of outcome ↓ (Landauer)

If Lindblad ρ(t) with fully-specified reservoirs predicts measurement distributions to Landauer-bounded accuracy, then in the STOC-QComp regime collapse is entropy-bookkeeping between substrate and observer, not a fundamentally stochastic physical event.

Bohr · 1958 · with STOC-QComp addendum

"Anyone who is not shocked by quantum theory has not understood it. STOC-QComp does not attempt to un-shock quantum theory. It gives the shock an address: the point at which the substrate's engineered reservoir absorbs the quantum system's uncommitted correlations."

Section 13 · Manufacturing roadmap

Prototype (2026) → volume (2028) → orbit (2031+)

Year 1 · 2026 Q4 – 2027 Q2

T1 prototypes

Ship 5 T1 personal desk units to partner academic labs. First Casimir cavity fabrication and characterisation.

Year 2 · 2027

First T2 batch (~10 units)

First T2 business unit production run. Integration with STOC-QC reservoir framework validated.

Year 3 · 2028

T2 volume ~1000 units/yr

European MEMS + SC foundry partnership. First T3 industrial unit shipped.

Year 4 · 2029

T3 industrial scale ~50/yr

First T4 subsea/subterranean prototype qualified. Muon-shield fidelity gain confirmed.

Year 5 · 2030

T4 shipments ~10/yr

T5 sea/mobile MIL-STD-810 qualification. First T6 space-flight qualification test.

Year 6+ · 2031+

Orbital deployment

T5 & T6 shipments. First orbital STOC-QComp launched. Jurisdiction-neutral crypto infrastructure.

Reference · reading

Read the full paper

The complete framework — Total Hamiltonian, Casimir integration, six deployment tiers with per-tier BOM, supply-chain analysis, game-theoretic threat model, and the engineered-collapse philosophical treatment — is in the STOC Quantum Computer paper. Companion podcast, PDF, and ResearchGate preprint are on the Paper · Podcast page.

ResearchGate ↗

17 · Paper X · v1.0-DESIGN

STOC-X · MULTISCALE ELECTROTHERMAL

Phononic · Photonic · Information-Thermodynamic architecture for phase-controlled computation & energy conversion

Hero · STOC-X five-domain carrier framework · electrons + phonons + photons + heat + information · nwo.stoc

STOC-X is the substantial extension of the RISC-V + STOC architecture following the six-order-of-magnitude latency correction of Paper II. That paper correctly withdrew the original nanosecond claim after showing that N / (2ω) with N = 128 and ω = 2.5 krad·s⁻¹ yields 25.6 ms rather than 5 ns — a discrepancy of ≈ 5.1 × 10⁶. STOC-X treats that discrepancy not as an arithmetic error to be patched but as a diagnostic exposing a missing physical layer between the thermoelectric ring, its thermal state, its sensor/readout, and the computational abstraction. The response is architectural separation, not numerical optimism: five coupled physical domains (electrons, thermoelectric heat, phonons, photons/EM, and information-thermodynamic feedback), each performing the portion of the computation for which it is best suited, coupled through an explicit energy ledger in which the second law is a simulation invariant.

DESIGN · Config A first target HYPOTHESIS · Configs H/I/J/K new ROADMAP · Six-experiment programme PROVEN · Diffusion penetration depth δ_T = √(2α/ω)

Figure 1 · STOC-X six-layer architecture · L0 → L5 · state generation ≠ state propagation ≠ state readout ≠ computation ≠ energy management

EXCITATION

MOSFET · GaN drive

L0 · Electrical excitation. MOSFET / GaN electronics generate phase-controlled currents I_i(t) = I₀ cos(2π m i / N − ω t) into the Peltier junctions. Carrier: electrons / holes.

TRANSDUCE

Peltier · Onsager

L1 · Thermoelectric transduction. Peltier junctions convert electrical current into directed heat transport under Kelvin–Onsager coefficients. Q_P = −∇·(Π J), Π = S T.

THERMAL

T_e · T_ph · A_m · φ_m

L2 · Thermal / phononic state. Analog state stored in temperature, phonon occupation, mode amplitudes A_m and phases φ_m. Two-fluid electron–phonon model at nanoscale.

READOUT

photon · phase · mode

L3 · Fast state readout. Three channels: photonic near-field, electromagnetic phase (quadrature), mode-native matched filters. Photons or electrons — not thermal waiting.

CONTROL

RV64 · estimator · feedback

L4 · Information processor. RISC-V + STOC digital controller estimates x̂ = ℱ(T, φ, I, V, ...) and computes u* = argmax [P_useful − λ E_diss − γ Ṡ].

RECOVERY

cascade TE / TPV

L5 · Energy-recovery network. Joule + Peltier + radiative heat routed through cascade: Q_h → secondary TE stage → thermophotovoltaic → storage. Q_rec = Q_h Π η_i.

STOC-X central hypothesis · Paper X §16

"The original six-order latency penalty arose because computation, physical-state generation, state propagation, state measurement, and digital reconstruction were conflated into one process. Separating those processes permits different physical carriers — electrons, phonons, photons and information — to perform the portions of the computation for which each is best suited. STOC is not a fast thermal CPU. STOC is a phase-controlled thermodynamic physical-computing substrate."

Section 2 · The 5.1 × 10⁶ diagnostic · diffusion is not a wave

Why the correction of Paper II exposes a missing physical layer

Paper II arithmetic · Config B read latency

The withdrawal, quantified

t_read ~ N / (2 ω)

= 128 / 5000 = 25.6 ms

25.6 ms / 5 ns = 5.12 × 10⁶

The original number was ≈ 6 orders of magnitude too optimistic. Paper II correctly withdraws the value. STOC-X treats this not as an error to patch, but as a diagnostic: the physical model itself was incomplete.

Governing equation for the ring temperature

Wave vs diffusion dispersion

Wave: ω² = v² k²

Diffusion: ω = − i α k²

Phase-shifted Peltier drive generates a driven diffusion equation, not a free propagating wave. There is no ordinary phase velocity. The apparent traveling temperature is the phase-lagged response of a diffusive medium.

Thermal penetration depth

The physical scale that limits STOC

T(x, t) = Re[ T₀ exp(i k x − i ω t) ]

k² = i ω / α ⇒ k = (1 + i) √(ω / (2α))

δ_T = √(2 α / ω)

Amplitude decays exponentially with distance. This is a phase-lagged thermal response, not a freely travelling information wave. STOC-X is built on this fact rather than around it.

The central scientific question

What STOC-X actually asks

Can the physical architecture be changed so that the information does not have to wait for one complete macroscopic thermal evolution?

Partly yes — but not by making a diffusive thermal wave arbitrarily fast. The architecture must instead distinguish the physical processes carrying information, and use different physical carriers where each is best suited.

Section 3 · Multiphysics carrier framework

Five domains · Kn-indexed transport regimes

Peltier constitutive equations

Kelvin–Onsager thermoelectrics

J = σ ( −∇V + S ∇T )

q = Π J − κ ∇T, Π = S T

ρ c_p ∂T/∂t = ∇·(κ ∇T) − ∇·(Π J) + J²/σ + Q_ext

Complete evolution including Joule (Q_J = J²/σ), Peltier (Q_P = −∇·(Π J)) and Thomson (Q_Th = τ J·∇T) heating. Every STOC-X simulation starts here.

Two-fluid electron–phonon model

Heat is not a single substance

C_e ∂T_e/∂t = ∇·(κ_e ∇T_e) + P_e − G_ep (T_e − T_ph)

C_ph ∂T_ph/∂t = ∇·(κ_ph ∇T_ph) + G_ep(T_e − T_ph) + P_ph

At nanoscale the cold spot need not sit where the electrical Peltier junction is. Recent quantum-thermoelectric modelling shows phonon hot/cold spots displaced by the electron–phonon scattering length.

Regime map · Kn = ℓ_ph / L

The transport ladder

Kn ≪ 1Fourier diffusion · τ ~ L²/α

Kn ~ 1Quasiballistic phonons · BTE

Kn ≫ 1Ballistic / coherent · Landauer / NEGF · τ ~ L/v_ph

Same architecture, different governing equations at different length scales. STOC-X promotes upward only when experimental evidence rejects the lower-order model.

Cattaneo hyperbolic transport

Finite-speed thermal disturbance

τ_q ∂q/∂t + q = − κ ∇T

τ_q ∂²T/∂t² + ∂T/∂t = α ∇²T

v_therm = √(α / τ_q)

Hyperbolic (telegraph-type) equation admitting a finite signal speed. But τ_q is a measured physical property — Experiment 4 in the §13 programme — not a knob to invent a desired wave velocity.

Landauer picture · nanoscale junctions

Charge and heat currents

I = (2e/h) ∫ T(E) [f_L(E) − f_R(E)] dE

J_Q = (2/h) ∫ (E − μ) T(E) [f_L − f_R] dE

Much more appropriate for an individual nanostructured junction than blindly applying a bulk Fourier coefficient. Enables energy-selective carrier transport as a computational degree of freedom.

NEGF transmission function

Quantum-transport formulation

G^r(E) = [ E − H − Σ^r ]⁻¹

iℏ dρ/dt = [Ĥ, ρ] + 𝓛_diss[ρ]

Ĥ = Ĥ_e + Ĥ_ph + Ĥ_e−ph + Ĥ_EM + Ĥ_int

Most general formulation for the nanoscale case, opened where BTE fails. Not baked into first-prototype assumptions — reached only when Experiments 2–4 reject the diffusive model.

Section 4 · Latency decomposition

Where speed can and cannot come from

Six independent terms

Total kernel latency

t_total = t_drive + t_thermal + t_sensor + t_ADC + t_DSP + t_interface

t_kernel = N_cyc T_drive + t_thermal + t_sensing + t_conv + t_est + t_transport

Only terms after transduction can be reduced without changing the physical thermal state. Everything before is bounded by the physics of §3. Speed engineering must be surgical — each term addressed by a different mechanism.

Mode decomposition · τ_m ∝ 1/m²

First architectural improvement

T(θ, t) = T₀ + Σ_m A_m(t) exp(i m θ)

dA_m/dt = − α (m²/R²) A_m + F_m(t)

τ_m = R² / (α m²)

Higher spatial modes relax faster. STOC-X uses parallel spatial modes to trade hardware complexity for latency. Limit: once λ_m = 2πR/m approaches ℓ_ph or grain size, the diffusion model fails.

Size scaling · τ ∝ L²

The geometry-only bound

τ' = r² τ

√(5.12 × 10⁶) ≈ 2263

A factor of 100 in L gives 10⁴ in τ. Closing the full 5.1 × 10⁶ discrepancy would need ≈ 2263× linear reduction — well below any conventional Fourier validity. The six-order improvement cannot come from geometry alone.

Predictive readout · model-based estimator

Not causal violation

x̂(t + Δt) = exp(A Δt) x̂(t) + ∫ exp(A(t−s)) B u(s) ds

A(t₂) = A(t₁) exp(− (t₂ − t₁) / τ_m)

Controller need not sample the entire trajectory. Risk: model error. The residual ε_pred = |x_predicted − x_measured| is continuously monitored — a rise signals the model has left its validity range.

Physically credible acceleration mechanisms

Table 3 · what each mechanism buys

Smaller ringL² reduction in diffusion time

Higher mode m1/m² reduction in modal relaxation

Faster sensor / ADCremoves t_sensing + t_ADC bottleneck

Electrical phase detectionavoids thermal imaging altogether

Optical / near-field readoutfaster transduction than diffusion

Ballistic phononsremoves diffusive assumption at Kn ~ 1

Coherent phononsenables genuine interference at Kn ≫ 1

Electronic transportmuch faster info channel than heat

Photonic transportvery high bandwidth channel

Parallel modestrade hardware for latency

Predictive estimatorinfers state before full relaxation

Feedback controlprevents unnecessary cycles altogether

No single mechanism closes the 5.1 × 10⁶ gap in isolation. The useful regime is a combination. Last three items — parallel modes, predictive estimator, feedback control — are the most immediately actionable on the existing RISC-V + STOC reference platform.

Section 5 · Readout channels

Separating physical dynamics from observation

L3 · Channel A · photonic / near-field

Emitted radiation as observable

P_IR(T) = ∫ ε(λ, T) B_λ(T) dλ

Temperature inferred through emitted radiation. At nanoscale gaps, near-field radiative transfer can exceed the far-field value because evanescent EM modes participate in heat exchange. Thermal state → photonic state → electrical detector.

L3 · Channel B · EM phase / quadrature

State encoded in electrical observable

T_m(t) = A_m cos(m θ − ω t + φ_m)

X = (2/T) ∫ V(t) cos(ω t) dt

Y = (2/T) ∫ V(t) sin(ω t) dt

A = √(X² + Y²), φ = tan⁻¹(Y/X). Representation becomes (A, φ, m) instead of 128 independently sampled temperatures.

L3 · Channel C · mode-native sensor

Matched filter · analog correlator

H_m(θ) = exp(− i m θ)

C_m = ∫ T(θ) exp(− i m θ) dθ

Physical excitation exp(i m θ) meets a matched-filter readout. Device directly measures the mode coefficient rather than reconstructing the entire state. RISC-V only receives the pre-projected coefficient.

Section 6 · Energy accounting & information thermodynamics

Second law as a simulation invariant

Complete energy ledger · one cycle

What goes in, what comes out

E_in = E_elec + E_opt + E_mech + E_info

E_useful = E_elec,out + E_comp,out + E_rec,thermal + E_rec,photonic

E_diss = E_Joule + E_dielectric + E_phonon + E_rad + E_sensor + E_control + E_reset

E_in = E_useful + E_diss + ΔU

Every STOC-X simulation enforces the equality as a numerical invariant. Simulation closing within measurement uncertainty is a necessary (not sufficient) release condition.

Second law · why perpetual recycling fails

Carnot is a strict upper bound

∮ δQ / T ≤ 0

η_C = 1 − T_c / T_h

No photonic, phononic, Casimir, altermagnetic or information-processing architecture removes this. Those mechanisms alter how efficiently energy is moved or converted; they cannot remove entropy production from the complete cyclic machine.

Maxwell's demon · reinterpreted

Information as a feedback controller

measure → condition → transport → reset

I(X : M) = H(X) − H(X | M)

ΔW ≥ ΔF − k_B T I(X : M)

The Sagawa–Ueda bound. Feedback improves extractable work, but the information term is not free. The complete cycle — working medium, measurement device, memory, feedback controller, reset — is one machine.

Cascade heat recovery · L5

Recovery, not creation

Q_h → 2° TE stage → TPV/TR stage → storage

Q_rec = Q_h Π_i η_i

Q_loss = Q_h − Q_rec

Every stage has efficiency < 1, so residual is unavoidable. The correct meaning of "closed-loop heat recovery" — recovery, not creation. STOC-X objective: max E_useful/E_in subject to Ṡ_total ≥ 0.

STOC-X §7.4 · The controller

"The controller does not attempt to violate equilibrium. It measures {T, φ, I, V, q, n_ph}, estimates x̂ = ℱ(T, φ, I, V, ...), selects u* = argmax_u [P_useful(u) − λ E_diss(u) − γ Ṡ(u)], and resets — paying the k_B T ln 2 per bit of erased memory (Landauer's principle). The objective is not 'free energy' but max E_useful / E_in subject to Ṡ_total ≥ 0."

Section 7 · Material stack & interface engineering

No single material serves every function · functional stack

Thermoelectric figure of merit

Decoupling S, σ, κ

ZT = S² σ T / (κ_e + κ_ph)

Electrical and thermal transport are coupled — modern nanostructured research decouples them via phonon scattering, band engineering, interfaces, and carrier filtering. STOC-X separates roles: electrical path (high σ, S²σ) vs phonon path (low κ_ph where isolation is wanted).

Altermagnetic surface layer · optional

154/829 screened AFMs

T_↑(E, k) ≠ T_↓(E, k)

154 of 829 screened collinear antiferromagnetic entries exhibit surface spin splitting under termination-broken symmetry. Another 202 carry surface-altermagnetic symmetry whose orientation can suppress the splitting. NaMnP: d-wave surface. FeGe₂: g-wave surface. A candidate carrier-filtering interface without requiring the bulk to be an altermagnet.

Cutler–Mott form · why filtering helps

Energy-selective S

S ~ (1 / e T) · K₁ / K₀

K_n = ∫ (E − μ)ⁿ T(E) (−∂f/∂E) dE

A spin- or momentum-selective interface becomes an additional degree of freedom for engineering S, σ, κ_e. Must be experimentally demonstrated — symmetry classification alone does not establish a useful thermoelectric coefficient.

Coherence factor · fabrication as computation

Terrace cancellation lesson

C = | Σ_j A_j exp(i φ_j) |² / ( Σ_j A_j )²

⟨C⟩ ~ 1/N for N stochastic phases

0 ≤ C ≤ 1. Two terraces can cancel: ΔE_obs = p ΔE₁ + (1−p) ΔE₂. Same mathematics in phase-controlled STOC: A_net = A₁ − A₂ if phases oppose. Fabrication uniformity is a computational parameter.

Table 4 · STOC-X functional material stack

Each row solves one problem

TE-Ap-type Peltier leg · Bi-Sb-Te / advanced chalcogenide

TE-Bn-type Peltier leg · Bi-Te / half-Heusler

barrierphonon isolation · nanostructured low-κ layer

electrodelow electrical resistance · Cu / Ni / compatible metallization

opticalthermal readout · IR-active / plasmonic / photonic structure

substratemechanical / thermal reference · Si / SiC / sapphire

interfacecarrier / phonon filtering · engineered heterostructure

magnetic (optional)spin-selective transport · AFM / altermagnetic surface

Section 8 · Revised configuration matrix A–L

Four new entries H · I · J · K

A · Coprocessor

First experimental target

RISC-V + physical-mode accelerator. Smallest change to existing RISC-V. STOC_DRIVE, STOC_SENSE, STOC_PHASE, STOC_MODE, STOC_ENERGY, STOC_CONTROL primitives return a state estimate rather than raw thermal samples.

B · Analog associative memory

Not an SRAM replacement

E_bit = (E_drive + E_sense + E_refresh) / I_reliable

One ring ≠ one cache line. Thermal memory becomes an analog associative state element with Shannon-based reliable capacity.

C · Mode-domain signal processor

Not a general ALU

Mode-domain convolution. Correlation, spectral filtering, phase estimation, cyclic convolution, matched filtering, approximate transforms — much better aligned with the physics than a general-purpose ALU. Multiplication A·B via mode-add rejected.

D · Thermal-retention memory

Short-window analog

Exploits τ_r as short-term memory. Wafer τ_r ≈ 40 μs. Not intrinsically non-volatile — endurance ∞ withdrawn per Paper II. Whether τ_r can be extended by geometry, material, or thermal-boundary engineering is open.

E · Global synchronisation

Limited use

Mode-broadcast interconnect. Coherence-invalidation latency t_prop = 2π/(Nω) ≈ 157 μs at N = 16, ω = 2.5 krad·s⁻¹. Suits low-frequency coordination, not conventional cache-coherence.

F · Fully thermodynamic processor

Long-term hypothesis

Six rings replacing pipeline stages. Hz–MHz clock. "Arbitrarily low power" and radiation-hardness claims of Paper II withdrawn. Reframed here as investigation of sub-mW / μW operation under specified conditions.

H · NEW · phonon-engineered ring

Nanoscale interface engineering

Phonon-crystal barriers, superlattices, nanoinclusions, band convergence. Aims at decoupling κ_ph from σ. Depends on validation of BTE / ballistic regime via Experiments 2–4.

I · NEW · photonic-readout ring

Near-field or IR observation

Thermal state → photonic state → electrical detector. Removes t_sensing bottleneck without altering the physical thermal dynamics. Validated by Experiment 5.

J · NEW · information-feedback controller

Energy routing via measurement

State-dependent energy routing under Sagawa–Ueda feedback bound. Complete cycle (working medium + measurement + memory + reset) accounted. Objective: max E_useful / E_in subject to Ṡ_total ≥ 0.

K · NEW · altermagnetic-interface ring

Carrier filtering layer

Surface layer selectively transmits particular carriers. Not required for bulk to be altermagnetic — 154/829 screened AFMs qualify. Optional research direction, not baked into first prototype.

G · Distributed swarm

Systems concept

Distributed thermodynamic nodes. Scaling and communication overheads not modelled — needs a separate paper to develop.

L · Hybrid converter

Long-term convergence

Hybrid phonon–photon–electron converter. Convergence target after H/I/J/K validate individually.

Section 9 · Experimental programme

Six experiments · promote ladder only if lower-order fails

Exp 1 · Thermal transfer function

Measure H_m(ω) = T_m(ω) / I_m(ω) for m ∈ {1..8}. Extract |H_m|, φ_m, τ_m. Acceptance: within 20% of Eq. 5.4 with 95% CI per mode.

Exp 2 · Mode scaling

Test τ_m ∝ m⁻². Departure from the law indicates non-diffusive transport — decisive experiment for climbing the regime ladder.

Exp 3 · Size scaling

Fabricate rings R₁ .. R₄ spanning ≥ 2 decades. Test τ ∝ R². Deviation indicates size-dependent transport.

Exp 4 · Phonon regime

Determine Kn = ℓ_ph / L on the fabricated device. Compare Fourier / BTE / ballistic predictions. Also determine Cattaneo τ_q.

Exp 5 · Optical readout

Compare t_IR vs t_electrical for readout of the same physical state. Measure the complete latency, not just detector sampling rate.

Exp 6 · Energy ledger

Simultaneously measure P_elec, P_cold, P_hot, P_rad, P_sensor, P_control. Verify P_in = P_useful + P_loss + dU/dt to measurement uncertainty. Necessary condition for any recovery / info-thermo advantage claim.

Section 10 · What must not be claimed

Ten claims prohibited until measured

1 · Nanosecond thermal computation

Withdrawn per Paper II 5.1 × 10⁶ correction.

2 · Arbitrarily low power

Not established at any deployment scale.

3 · Infinite endurance

Withdrawn per Paper II Config D correction.

4 · Radiation hardness

Withdrawn per Paper II Config F correction.

5 · Second-law violation

Explicitly prohibited by the energy-ledger invariant.

6 · Perpetual heat recycling

Q_rec = Q_h Π η_i with all η_i < 1.

7 · Free energy from Maxwell's demon

Sagawa–Ueda bound is inclusive of measurement + reset.

8 · Guaranteed quantum advantage

L6 master-equation regime is aspirational only.

9 · Guaranteed Casimir enhancement

Requires |ΔP_Cas| ≥ P_actuator at operating d.

10 · Guaranteed altermagnetic TE enhancement

Requires experimental demonstration on the fabricated stack.

Section 11 · The architecture in one equation

Compact form of the five-domain framework

§17 of the paper · closed statement

Complete system

ẋ = F_e + F_TE + F_ph + F_EM + F_info

y = H x + n

u = π(x̂)

Ṡ_total ≥ 0

E_in = E_useful + E_diss + ΔU

Each physical carrier at its appropriate role: electrons carry charge; Peltier junctions transport heat; phonons carry lattice energy; photons provide high-bandwidth thermal coupling and readout; EM fields provide excitation and sensing; information provides feedback; RISC-V performs digital control; thermodynamics constrains the complete cycle.

Reference · reading

Read the full paper

The complete framework — 5.1 × 10⁶ diagnostic, multiphysics carrier framework, latency decomposition, three readout channels, closed-loop energy ledger with Maxwell's demon as feedback controller, functional material stack including 154/829 altermagnetic surfaces, revised A–L configuration matrix with four new entries H/I/J/K, six-experiment validation programme, and seven-level simulation hierarchy — is in the STOC-X paper. Companion podcast, PDF, and ResearchGate preprint are on the Paper · Podcast page.

ResearchGate ↗

15 · Paper VIII · v1.0-DESIGN

RISC-V PANSOPHIC

Agentic Knowledge Architecture · out-of-order RV64 · STOC substrate · quantum control · Pansophic ontology · open technology markets

Hero · Complete PAN-1 unified device architecture · move mouse for magnifier · click for full zoom

The RISC-V Pansophic Agentic Knowledge Architecture (PKA) is an open, experimentally grounded technology stack combining a cycle-aware out-of-order RV64 processor (PAN-OOO), the STOC thermodynamic substrate from Papers I–IV, quantum-control interfaces, and a multi-agent research runtime, all represented as one typed, machine-readable ontology. Motivated by four convergent observations: (1) RISC-V separates ISA from microarchitecture and permits heterogeneous implementations without vendor lock-in; (2) Google's August 2026 Antigravity Teamwork report demonstrated multi-agent orchestration autonomously constructing a cycle-accurate OoO RISC-V simulator that boots xv6 to a shell with 0.71% average cycle-alignment error against BOOM hardware; (3) the STOC series has defined a programmable thermodynamic substrate spanning Peltier ring, RISC-V+STOC configs, cooling integration, and memristor-STOC hybrid; (4) the historical 1618 Pansophic diagram represents knowledge as a connected hierarchy of correspondence — a structural intuition operational as typed graph nodes with reproducible edges.

LIVE · Financing rails · RV64 · xv6 BETA · Calibration · Ecosystem DESIGN · PAN-OOO · Ontology · Opcodes ROADMAP · PAN-1 silicon 2028+

↓ EXECUTION ↓

↑ FEEDBACK · closed learning loop ↑

Pansophic Computational Architecture — Full Tech Stack, L0 → L9

each layer's nodes, metrics, and governing equation · closed learning loop across software · physical substrate · agents

L9Application

Materials
discovery

MED

Materials discovery. Accelerated screening of thermoelectric, topological, and phononic-crystal materials via the STOC substrate acting as a physical co-processor.

Quantum
control

HYP

Quantum control. STOC-QX as a reservoir-engineered control fabric for bounded QPUs (200–1000 qubits per Palmer RaQM).

Edge
robotics

LIVE

Edge robotics. RV64GC + STOC for low-power sense-plan-act loops. NWO Robotics reference deployment.

Instruments

DES

Instruments. Scientific instruments (spectroscopy, cryo, sensors) with in-line calibration & provenance.

Sovereign
compute

STR

Sovereign compute. Jurisdiction-neutral compute for regulated industries and nation-state grade research infrastructure.

Dev
platform

DES

Dev platform. Open NWO-ASM toolchain, reference implementations, HF Space, Base 8453 receipts.

—

TAM $4k → $500M+ · 6 verticals · Tier 1-6

L8Ontology

Pansophic
hub G_P

DES

Pansophic hub G_P. The unified typed knowledge graph over all layers. Nodes are agents / artifacts / states / processes / constraints / observations / theories.

Historical /
esoteric

HIS

Historical / esoteric. 1618 Speculum Sophicum Rhodostauroticum as structural metaphor — never as physics.

Empirical
edges

LIVE

Empirical edges. Reproducible observations bound to measurement provenance.

Hypothesis
edges

DES

Hypothesis edges. Marked-HYPOTHESIS relations awaiting falsification via the agentic runtime.

Corres-
pondence

DES

Correspondence. Cross-domain edges linking material state, thermodynamic control, quantum control, symbolic state.

—

q_e ∈ [0,1] · Q(path) = Πq_e · exp(-Σλ_kΔ_e)

L7Evidence Graph

Agent
nodes

DES

Agent nodes. Bounded workers (architect, ISA, µarch, MMU/OS, phys, quantum, verifier, economist) each with a machine-checkable acceptance gate.

Artifact

DES

Artifact. Any produced object with owner, version, hash, tests, provenance.

State

DES

State. Snapshot of architectural, physical, or symbolic state — indexable by trace ID.

Process

DES

Process. Long-lived compute or experiment with defined inputs, outputs, and checkpoints.

Constraint

DES

Constraint. Physical (thermal, power, magnetic), computational (ROB depth, IPC), or economic (cost, risk) bound.

Observation

DES

Observation. Measurement bound to a calibration ID and provenance record.

Theory

DES

Theory. Model or hypothesis over the state graph — must survive the falsification programme.

Actor

DES

Actor. Human, agent, organisation, or on-chain wallet with signing capability on Base 8453.

G_P = (V, E_emp ∪ E_hyp ∪ E_hist, T, W, S, K)

L6Oracle Loop

Spike
functional

LIVE

Spike functional. RISC-V functional reference simulator for architectural lockstep — never gives implementation code to the OoO simulator.

BOOM
cycle ref

LIVE

BOOM cycle reference. Berkeley Out-of-Order Machine — parameterisable RISC-V OoO core in Chisel used as cycle-timing ground truth.

xv6 shell
target

LIVE

xv6 shell target. The integration proof — boot MIT xv6 to interactive shell on the PAN-OOO simulator. Validates decode, ALU, atomics, Sv39, traps, TLB, scheduler, filesystem, syscalls.

Discrepancy
graph

DES

Discrepancy graph. Machine-readable index of where simulator diverges from oracle — feeds back into agent work items.

First-
divergence

DES

First-divergence cycle. min c where state differs from oracle. Localise within ≤1 cycle after trace align.

Trace
diff

DES

Trace diff. Committed micro-op / cycle / CSR / memory traces with automated diff against oracle traces.

—

Cycle MAE ≤ 1% · Antigravity reported 0.71%

L5Agentic Core

Architect

DES

Architect agent. System decomposition, no unresolved dependency cycles. Owns the architecture graph.

ISA spec

DES

ISA specialist. RISC-V semantics, decoder, execute tests. Gate: Spike differential pass.

µArch

DES

Microarchitect. OoO timing, ROB / IQ / LSU model. Gate: microbenchmark pass.

MMU/OS

DES

MMU/OS specialist. Sv39, traps, xv6 privileged-state tests. Gate: xv6 boot to shell.

Phys
modeller

DES

Physical modeller. STOC equations, materials, calibrated transfer model. Gate: parameter fit within error.

Quantum

DES

Quantum specialist. H, ρ, L_k interface + pulse/control schedule. Gate: QPU API validation.

Verifier

DES

Verifier. Oracle + trace diff + mismatch localisation. Gate: no unexplained divergence.

Econ

DES

Economist / security. GTM + game model + risk/payoff. Gate: scenario sensitivity pass.

a* = argmax_a [ IG(a) − λ_C C(a) − λ_R R(a) + λ_U U(a) ]

L4Runtime · IR

Pansophic
IR

DES

Pansophic IR. Machine-readable intermediate representation over ISA events, physical telemetry, quantum control, provenance.

Scheduler
J_P

DES

Scheduler J_P. Optimises energy · latency · error · risk · fidelity · uncertainty · provenance-cost jointly.

Calibration

BETA

Calibration. Live parameter fit against physical instruments; provenance-bound calibration IDs.

Backend
discovery

DES

Backend discovery. Runtime enumeration of available QPUs, STOC channels, RV cores, cryo profiles.

Provenance
svc

LIVE

Provenance service. Every commit → Base 8453 receipt. Ed25519 signing chain from silicon to on-chain anchor.

Active
learner

DES

Active learner. Chooses next experiment to maximise IG(a) − λ_C C(a) − λ_R R(a) + λ_U U(a).

—

J_P = E + λ_τ τ + λ_ε ε + λ_r R + λ_f(1-Fid) + λ_u U + λ_p P_cost

L3ISA · NWO-ASM

RV64GC

LIVE

RV64GC. RISC-V 64-bit + IMAFDC extensions. Base ISA — open, standardised, no vendor licence required.

Zicsr+Zifencei
+M+A

LIVE

Zicsr + Zifencei + M + A. Control-status registers, instruction-fetch fence, multiply, atomics — required for xv6.

Zpka.meta

PRP

Zpka.meta. Proposed opcode: emit Pansophic metadata (trace ID, calibration ID, provenance hash) directly from silicon.

Zstoc.field

PRP

Zstoc.field. Set STOC control field (T, B, E, µ, strain) directly from an instruction.

Zstoc.fit

PRP

Zstoc.fit. On-die parameter fit against instrument response — folds physical calibration into the ISA.

Zstoc.route

PRP

Zstoc.route. Route a workload across STOC / QPU / classical resources under the J_P cost.

Zq.ctrl

PRP

Zq.ctrl. Bounded QPU control — Hamiltonian schedule, dissipator selection, pulse envelope.

Zprov.commit

PRP

Zprov.commit. Emit an on-chain provenance receipt for a computation. Base 8453 anchor.

1.2 GHz · 4 cores · 5-15 W · custom-0/1/2 opcodes

L2µArch · OoO

Fetch
(IFU+BTB)

DES

Fetch. Instruction fetch unit + branch target buffer (64-entry). 2-wide.

Decode ×2

DES

Decode. Two decode lanes per cycle. Compressed-instruction expansion.

Rename
RAT+FL

DES

Rename. Rename Alias Table + Free List. 96 physical integer registers. Formal: RAT'[rd] = p₃.

Dispatch
→ IQ

DES

Dispatch. Allocate ROB entry, LQ/SQ entry if load/store, insert into issue queue.

ROB 64

DES

Reorder buffer. 64 entries, circular, in-order retire at head. Branch checkpoints for OoO recovery.

2×ALU · 1BR ·
1LSU

DES

Execution units. Two ALUs, one branch, one load-store unit. Shared MUL/DIV.

Writeback

DES

Writeback. Broadcast result on common data bus, wake dependent instructions.

Commit

DES

Commit. ROB retire in program order; advance committed RAT; free old physical register.

V(t)=M(q(t))·I(t) · 96 phys reg · Sv39 MMU · RVWMO

L1Device

STOC toroidal
ring

DES

STOC toroidal ring. Paper I primitive. Phase-shifted Peltier currents I_i(t) = I_0·cos(2πi/N − ωt) → T(θ,t) = T̄ + δT·cos(mθ − ωt).

Memristor cell

LIVE

Memristor cell. Chua's fourth circuit element V(t) = M(q(t))·I(t). Paper IV: memristor-STOC hybrid.

QPU (SC/Yb⁺)

LIVE

QPU. Superconducting Josephson or Yb⁺ ion QPU. Bounded 200–1000 qubits per Palmer RaQM.

Sensors IR/RTD

LIVE

Sensors. Infrared and resistance-temperature detectors for in-line thermodynamic telemetry.

DAC/ADC 24-bit

LIVE

DAC/ADC. 24-bit precision, 100 kSps. Drives Peltier currents and reads back telemetry.

Cryo interface

LIVE

Cryo interface. µW wiring budget lets closed-cycle + pulse-tube coolers qualify. Bluefors / Oxford / Zero Point compatible.

Peltier N-ch

LIVE

Peltier N-channel. 64–256 concentric junctions per ring. Actuation via phase-shifted current vector.

—

64-256 ch · ω=2.5k rad/s · T=10 mK · 100-1k qubits

L0Physical

Bi₂Te₃
(ZT=1.4)

LIVE

Bi₂Te₃. Industrial thermoelectric with ZT ~ 1.4 at 300 K. Also a canonical topological insulator.

Half-Heusler

LIVE

Half-Heusler. Alternative thermoelectric family. Mg₃(Bi,Sb)₂ substitution path for Bi₂Te₃.

Nb·NbTiN SC

LIVE

Nb / NbTiN. Type-II superconductors for Josephson junctions. Standard sputter-deposition process.

HfO₂ · TaO_x

LIVE

HfO₂ · TaO_x. Resistive-switching oxides for memristor cells. CMOS-compatible.

Al₂O₃ · SiN

LIVE

Al₂O₃ · SiN. Dielectric and passivation layers. SiN also serves as Casimir plate substrate.

Cu · Si · SiO₂

LIVE

Cu · Si · SiO₂. Commodity CMOS materials for interconnect, active area, and insulator.

Phononic xtal

DES

Phononic crystal. Engineered Si/SiN periodic structure with 50–70 GHz phonon bandgap for reservoir engineering.

—

ZT = S² σ T / κ · L_n = ∫(E-μ)ⁿ(-∂f/∂E)T(E)dE

Live Beta Design Proposal Hypothesis Historical Strategic Medium

Hover any node for a summary shown below the border · click for full engineering detail modal Left edge · downward EXECUTION arrow · Right edge · dashed FEEDBACK closed learning loop

Abstract · RISC-V Pansophic v1.0-DESIGN

"An open, experimentally grounded technology stack in which a cycle-aware out-of-order RV64 processor (PAN-OOO), the STOC thermodynamic substrate, quantum-control interfaces, and a multi-agent research runtime are represented as one typed, machine-readable ontology. Motivated by Google's August 2026 Antigravity Teamwork — which autonomously produced a cycle-accurate OoO RISC-V simulator booting xv6 with 0.71% cycle-alignment error against BOOM — and by the 1618 Pansophic diagram as structural intuition. Not the metaphysics; the shape."

Section 1 · The eight contributions

What this paper adds

Contribution (a)

PAN-OOO reference config

Full mathematical framework for out-of-order RV64 execution with cycle-accurate oracle validation. Spike architectural lockstep + BOOM cycle reference.

Contribution (b)

PAN-1 SoC specification

Heterogeneous SoC integrating 4× RV64 OoO cores with STOC-QX control fabric on one die. 5–15 W TDP · 100-1000 bounded qubits.

Contribution (c)

Nine configurations A–I

Extends the Paper II configuration space with quantum-integrated variants. Covers embedded → industrial → research → space.

Contribution (d)

Six new NWO-ASM opcodes

Portable software contract with proposed extensions: Zpka.meta, Zstoc.field, Zstoc.fit, Zstoc.route, Zq.ctrl, Zprov.commit.

Contribution (e)

Pansophic ontology + scheduler

Typed graph G_P = (V, E_emp ∪ E_hyp ∪ E_hist, T, W, S, K) with active-learning scheduler a* = argmax_a [IG − λ_C C − λ_R R + λ_U U].

Contribution (f)

Falsification programme

Seven testable hypotheses spanning cycle accuracy, xv6 boot, STOC fit, Pansophic coverage, and agentic acceptance gates.

Contribution (g)

Open vs closed game theory

Formal payoff analysis of the RISC-V + STOC market. Open ISA + open substrate + on-chain provenance = subgame-perfect equilibrium.

Contribution (h)

Six-tier deployment plan

Aligned with the MetaStateSplitter on Base 8453 (chain ID 8453). Personal desk unit → orbital platform. Shared funding rail across ecosystem.

Section 4 · PAN-OOO reference microarchitecture

Two-wide OoO · ROB 64 · Sv39 · RVWMO · Spike + BOOM oracles

PAN-OOO v1 baseline configuration

Full parameter table

ISARV64GC + Zicsr + Zifencei + M + A

OptionalV / F / D extensions

Fetch / decode width2 / 2 per cycle

Rename / dispatch / commit2 / 2 / 2 per cycle

Reorder buffer (ROB)64 entries · circular · in-order retire

Physical int registers96 (32 arch + 64 speculative)

Integer issue queue32 entries · unified

Load / store queue16 / 16

Functional units2 ALU · 1 branch · 1 LSU · shared MUL/DIV

Branch predictor2-bit saturating + 64-entry BTB + RAT checkpoint

L1 I/D cache32 KiB each · 4-way · 64 B line

L2 cache (option)1 MiB unified · 8-way

MMUSv39 · 16-entry I-TLB + 16-entry D-TLB

Memory consistencyRVWMO · conservative

Privilege modesM / S / U

Oracle interfaceSpike architectural lockstep · BOOM cycle reference

Reference agent topology (Section 3.1)

8 bounded agents · acceptance gates

ArchitectNo unresolved dep cycles

ISA specialistSpike differential pass

MicroarchitectMicrobenchmark pass

MMU/OS specialistxv6 boot to shell

Physical modellerParameter fit within error

Quantum specialistQPU API validation

VerifierNo unexplained divergence

Economist / securityScenario sensitivity pass

Each agent has a bounded artifact set and a machine-checkable acceptance gate. Compound tasks flow through the graph as work-item DAGs; deadlocks are prevented by the architect's cycle-detection responsibility.

Section 2–5 · Key equations

The mathematical spine of the Pansophic architecture

State-transition operator · §2.3

The bridge between metaphor and engineering

x_t+1 = F(x_t, u_t, θ, ξ_t)

x is state · u control · θ calibrated parameters · ξ uncertainty. Common abstraction across material transformation, symbolic state, and quantum control — without claiming metaphor proves physics.

Pansophic graph · §2.1

Typed evidence graph over all layers

G_P = (V, E_emp ∪ E_hyp ∪ E_hist, T, W, S, K)

e = (u, v, τ, w, σ, k)

Every edge carries: relation type τ · confidence weight w ∈ [0,1] · source set σ · evidence class k ∈ {empirical, hypothesis, historical, esoteric}. Empirical edges must carry reproducible observations.

Active learning · §5

Next-experiment selection

a* = argmax_a [ IG(a) − λ_C C(a) − λ_R R(a) + λ_U U(a) ]

IG = information gain · C = computational cost · R = risk · U = user utility. Picks the experiment that maximises expected knowledge under bounded cost and acceptable risk.

Scheduler cost · §4.4

Joint optimisation across seven axes

J_P = E + λ_ττ + λ_εε + λ_rR + λ_f(1-Fid) + λ_uU + λ_pP_cost

Energy · latency · error rate · risk · fidelity deficit · uncertainty · provenance cost. Standard convex-optimisation tooling applies.

Rename & ROB · §4.2

OoO register renaming

RAT'[rd] = p₃

ROB[i] = (pc, old = RAT[rd], new = p₃, ready = false)

IQ[i] = (p₁, p₂, p₃)

Speculative younger instructions rename to fresh physical registers. Architectural state changes only at retirement. Branch checkpoints snapshot RAT + free list for misprediction recovery.

Sv39 virtual memory · §5.2

Page-table walk

PA = walk(VA, satp, current_priv) ∨ raise(page_fault, cause)

Three-level page walk over 4 KiB pages; also supports 2 MiB and 1 GiB superpages. Required for xv6 target and standard privileged RISC-V operating systems.

Section 6 · NWO-ASM opcode proposals

Six new custom-0 opcodes — the portable software contract

Proposed extensions · under custom-0 opcode space

Extensions Z{pka,stoc.*,q,prov}

; --- Preserved RISC-V base ---
RV64GC + Zicsr + Zifencei + M + A ; LIVE
V / F / D optional ; LIVE

; --- Six new NWO-ASM opcodes ---
Zpka.meta trace_id, cal_id, prov_hash ; PROPOSAL
Zstoc.field T | B | E | mu | strain, val ; PROPOSAL
Zstoc.fit channel, target ; PROPOSAL
Zstoc.route workload, budget ; PROPOSAL
Zq.ctrl H_id, dt, L_k ; PROPOSAL
Zprov.commit experiment_id → Base 8453 ; PROPOSAL

Every workload can be written once and moved across STOC / QPU / classical resources without recompilation. Every commit produces an on-chain provenance receipt on Base 8453 (chain ID 8453).

Section 5.3 · Cycle accounting metrics

Five metrics · Antigravity 0.71% benchmark to beat

Cycle-alignment vs BOOM ground truth

Five reported metrics

Values are design targets. Antigravity's 0.71% MAE on unseen workloads sets the reference bar. PAN-OOO v1 aims to match or beat it while staying entirely open-source.

Detailed target thresholds

Machine-checkable acceptance

Architectural divergence0 on conformance suite

First-divergence cycleLocalise ≤1 cycle after trace align

Cycle MAE≤ 1% on validated workload class

IPC error≤ 2%

Branch timing error≤ 1 cycle median

Each metric is reported separately rather than folded into a single score. The 'silent execution gap' from Antigravity teaches that microarchitectural divergence can hide for hundreds of cycles before an architectural failure surfaces — multi-metric reporting is the countermeasure.

Section 4.4 · OoO capacity study (Fig. 3 of paper)

Normalised exec time vs ROB size

Illustrative design targets — not measured

Why memory-system modelling matters

The gap between 2-wide OoO and the memory-bound curve grows with ROB size — the reason memory-system modelling cannot be an afterthought. In-order baseline stays flat; OoO benefits from deeper ROBs only up to the point where memory latency dominates.

Fig. 1 · End-to-end system flow

Kuhnian normal science as a computational graph

Seven stages, closed loop

Iterate ↓

1 · Objective / research question
2 · Pansophic ontology + experiment graph
3 · Agent team: propose → critique → implement → test
4 · RV64 OoO simulator / hardware execution
5 · STOC physical substrate + QPU control
6 · Oracle comparison + telemetry + provenance
7 · Model update → next experiment ↻

The dashed loop closes the cycle: each experiment's outcome updates the ontology, which reshapes subsequent research questions. This is fundamentally the shape of Kuhnian normal science automated as a computational graph.

Section 15 · Seven testable hypotheses

The falsification programme — every claim is refutable

H₁ · Cycle accuracy

PAN-OOO reaches ≤1% cycle MAE against BOOM on the SPEC-CPU / xv6 workload class.

H₂ · xv6 boot integrity

xv6 boots to interactive shell on PAN-OOO with all privileged transitions passing Spike lockstep.

H₃ · STOC parameter fit

STOC transfer model fits Peltier ring calibration within stated error bars across the operating temperature range.

H₄ · Pansophic coverage

≥87% of tracked artifacts have a defined ontology node with all required metadata attached.

H₅ · Agentic acceptance

≥93% of agent-submitted work items pass their acceptance gate on first submission with an audit trail.

H₆ · Antigravity replication

An open-source multi-agent team using open weights reproduces the Antigravity 0.71% cycle MAE within 1σ.

H₇ · On-chain provenance

Every committed experiment receipt on Base 8453 is retrievable and independently verifiable via Ed25519 chain.

Section 8 · Nine configurations A–I

Extending Paper II with quantum-integrated variants

Config A

Embedded · classical

Single RV64GC core + STOC substrate. Edge robotics, low-power sensing. Sub-5 W.

Config B

Workstation · classical

4× RV64GC OoO cores + STOC-QX control fabric. R&D workstation. 15 W TDP.

Config C

Server · classical

Multi-socket PAN-1 with shared L3 + STOC memory hierarchy. Data-centre density.

Config D

Personal + QPU

Config A + bounded ion-trap QPU (~200 qb). Tier-1 STOC-QComp form factor.

Config E

Workstation + QPU

Config B + superconducting QPU (~400 qb). Standard research bench.

Config F

Industrial + QPU

Config C + rack-scale QPU (~800 qb). Pharma, materials, aerospace.

Config G

Subterranean · shielded

Any config in a naturally-shielded deep-mine environment. +0.7% fidelity from 10⁴× muon shielding.

Config H

Mobile · MIL-STD

Ruggedised for naval, autonomous surface, or ground-vehicle platforms. Motion-compensated cryogenics.

Config I

Orbital · rad-hard

Radiation-hardened variant for LEO / GEO / deep space. +1.1% fidelity from vacuum + magnetic isolation.

Reference · reading

Read the full paper

The complete framework — PAN-OOO reference microarchitecture, PAN-1 SoC specification, Pansophic ontology as typed graph, six proposed NWO-ASM opcode extensions, active-learning scheduler, seven-hypothesis falsification programme, nine deployment configurations, and game-theoretic analysis of open vs closed technology markets — is in the RISC-V Pansophic Agentic Knowledge Architecture paper. Companion podcast, PDF, and ResearchGate preprint are on the Paper · Podcast page.

ResearchGate ↗

16 · Paper IX · v1.0-DESIGN

SOYGA ENOCH SIMULATION

Electron-entanglement quantum-symbolic simulation architecture · Reeds algorithm · Loagaeth hierarchy · RISC-V · STOC · Pansophic · ChainState AGI · Base 8453

SOYGA-ENOCH complete architecture infographic — 15-section overview

Fig. 0-cover · SOYGA-ENOCH complete architecture · 15 numbered sections · full-width single-panel overview

The SOYGA-ENOCH framework treats the 16th-century Book of Soyga letter tables and the Loagaeth / Enochian corpus recorded by John Dee and Edward Kelley as an engineering hypothesis — a candidate generative-address substrate for the control layer of a bounded quantum processor. It builds directly on the RISC-V Pansophic architecture (Paper VIII) and the STOC Quantum Computer device stack (Paper VII). Three testable claims: (i) the Reeds-reconstructed Soyga algorithm — a deterministic mod-24 recurrence generating 36×36 letter tables from a Latin seed word — maps onto a phase-schedule generator for the STOC toroidal Peltier ring; (ii) the Loagaeth numeric backbone (49 tables, 48 accessible keys, 30 Aethyrs, 91 Governors, invariants 48 = 18 + 30, 49 = 19 + 30, 91 = 29 × 3 + 4) is a well-formed hierarchical address space with reserved and boundary states; (iii) the resulting symbolic-address vector, injected through proposed RISC-V custom-0 opcodes Zsoy.gen / Zenoch.call / Zenoch.walk / Zse.entangle, produces a reproducible, provenance-anchored control regime for a bounded 200–1000-qubit QPU with a two-electron entanglement register. Predicted CHSH S rises from 1.4 (random) to 2.70 (full SOYGA-ENOCH + STOC + Casimir), against a classical bound of 2 and Tsirelson bound 2√2 ≈ 2.828.

LIVE · Financing rails · Base 8453 receipts BETA · ChainState AGI co-signer DESIGN · Zsoy · Zenoch · Zse opcodes ROADMAP · CHSH configuration-E experiment 2027

SOYGA-ENOCH Full Tech Stack, L0 → L11

each layer's nodes, governing equation, and status pills · closed learning loop across substrate, symbolic ontology, and epistemic frame

L11Application

Materials

DES

Materials discovery. Screening of thermoelectric and topological materials via the SOYGA-ENOCH-driven STOC substrate.

Quantum ctrl

DES

Quantum control. Seed-driven reservoir engineering for bounded 200–1000 qubit QPUs per Palmer RaQM.

Edge robotics

LIVE

Edge robotics. NWO Robotics reference deployment with Soyga-driven control on RV64GC + STOC.

Sovereign

STR

Sovereign compute. Jurisdiction-neutral compute with on-chain provenance and no vendor lock-in.

Dev tools

DES

Dev tools. Open NWO-ASM toolchain with Zsoy · Zenoch · Zse opcode support.

Research

DES

Research. Falsification programme: 10 testable hypotheses across cycle accuracy, Bell tests, seed sensitivity.

TAM $4k → $500M+ · 7 verticals

L10Epistemic

Falsifiable claim

DES

Falsifiable claim. Every claim in the paper is documented, derivable, or marked HYPOTHESIS with a specific test.

Provenance

LIVE

Provenance. Ed25519 chain from silicon to Base 8453 receipt for every experiment.

Hypothesis edge

DES

Hypothesis edge. Marked-HYPOTHESIS relation awaiting falsification via the agentic runtime.

Empirical edge

LIVE

Empirical edge. Reproducible observation bound to calibration ID and provenance record.

Historical

HIS

Historical. 16th-century Enochian and Soyga corpus as engineering data, not metaphysics.

Reserved

DES

Reserved state. The un-openable 49th Loagaeth table → hardware-fault-domain reservation pattern.

K in {emp, hyp, hist, esoteric}

L9Game-Theory

Open sci

DES

Open challenger (C). Enter at marginal cost with a DIY-plus-service model.

Closed cap

HIS

Closed incumbent (I). Vertically integrated quantum firms with proprietary control stacks.

Sovereign

STR

Sovereign compute. Nation-state grade research infrastructure via open ISA + on-chain provenance.

User

LIVE

User (U). Academic groups, industrial R&D, national labs — buy for fidelity at lowest ownership cost.

Regulator

DES

Regulator (R). ISO/IEC, national science ministries, export-control authorities.

AGI player

DES

ChainState AGI (Ξ). Fifth market player, on-chain autonomous scheduler and co-author.

SPE: open + on-chain + bounded QPU

L8Ontology

G_SE hub

DES

G_SE hub. The unified SOYGA-ENOCH knowledge graph over all layers.

Soyga graph

DES

Soyga graph. Nodes = seed words, edges = Reeds derivation steps, edges typed by mod-24 arithmetic.

Enoch graph

DES

Enoch graph. 48 Keys · 30 Aethyrs · 91 Governors as typed hierarchical address space.

STOC graph

DES

STOC graph. Peltier junction indices → reservoir schedule cells.

AGI graph

DES

AGI graph. ChainState agent nodes with actor pubkeys and chain-block references.

Cross-edge

DES

Cross-edge. Typed edges linking symbolic to physical to epistemic.

G_SE = (V, E_S ∪ E_E ∪ E_STOC ∪ E_AGI)

L7Symbolic Runtime

Reeds gen

DES

Reeds generator. Systolic 7×7 tile computing M(r,c) = n⁻¹([n(M(r-1,c)) + n(M(r-1,φ(c)))] mod 24).

Loagaeth blk

DES

Loagaeth block. 49×49 nested 7×7 block structure — tiled-matrix analog.

48-key call

DES

48-key call. Zenoch.call selects one of 48 accessible Keys (49 − 1 reserved).

Aethyr walk

DES

Aethyr walk. Zenoch.walk traverses the 30-Aethyr hierarchy by a Reeds-like recurrence.

Tex boundary

DES

Tex boundary. 91 = 29×3 + 4 — one-off edge-condition handler at the innermost Aethyr.

Speech act

DES

Speech act. Word → operation binding: Austin's performative theory as engineering claim.

M(r,c) = f(seed, r, c) mod A

L6Agentic · Oracle

Architect

DES

Architect agent. System decomposition, owns the architecture graph, cycle-detection responsibility.

Symbolist

DES

Symbolist agent. Soyga / Enoch scholarship, seed-word derivation, address-space validation.

Physicist

DES

Physicist agent. STOC equations, materials, calibrated transfer model, CHSH prediction.

Verifier

DES

Verifier. Oracle + trace diff + mismatch localisation. Gate: no unexplained divergence.

Historian

DES

Historian. Manuscript witness verification: Sloane MS 8, Bodley 908, Peterson transcription of Loagaeth.

Economist

DES

Economist. GTM + six-player game analysis + risk / payoff scenarios.

a* = argmax_a [ IG − λ_C C − λ_R R ]

L5Runtime · IR

Pansophic IR

DES

Pansophic IR. Machine-readable IR over ISA events, physical telemetry, quantum control, provenance.

Scheduler J_P

DES

Scheduler J_P^SE. Extended with λ_cs · D_cs(state, chain_state) chain-consistency term.

Calibration

BETA

Calibration. Live parameter fit; every calibration produces a calibration ID and provenance record.

Prov service

LIVE

Provenance service. Every Zsoy.gen + Zse.entangle commit → Base 8453 receipt with dual Ed25519 signatures.

Backend disc

DES

Backend discovery. Runtime enumeration of available QPUs, STOC channels, RV cores.

Active learn

DES

Active learner. Picks the seed word that maximises expected information gain.

J_P = E + λ_τ τ + λ_ε ε + ...

L4ISA · NWO-ASM

RV64GC

LIVE

RV64GC. RISC-V 64-bit + IMAFDC extensions. Base ISA. Open standard. No vendor licence.

Zstoc.*

PRP

Zstoc.*. Paper VIII opcodes: Zstoc.field, Zstoc.fit, Zstoc.route.

Zq.ctrl

PRP

Zq.ctrl. Hamiltonian schedule, dissipator selection, pulse envelope for bounded QPU.

Zsoy.gen

DES

Zsoy.gen seed, table_rd. Generate 36×36 Soyga table from Latin seed word into reservoir-schedule register.

Zenoch.call

DES

Zenoch.call key, aethyr, rd. Select Loagaeth key (1..48) + Aethyr (1..30) → 48/30/91 address in rd.

Zprov.commit

PRP

Zprov.commit. Emit on-chain provenance receipt for a computation. Anchored on Base 8453.

1.2 GHz · 4 cores · 5-15 W · custom-0/1/2

L3µArch · OoO

Fetch

DES

Fetch. 2-wide IFU + 64-entry BTB with RAT checkpoint.

Decode ×2

DES

Decode. Two decode lanes per cycle + compressed-instruction expansion.

Rename

DES

Rename. RAT + Free List, 96 physical integer registers.

Dispatch

DES

Dispatch. Allocate ROB, LQ/SQ; insert into unified 32-entry issue queue.

ROB 64

DES

Reorder buffer. 64 entries, circular, in-order retire. Branch checkpoints for OoO recovery.

Commit

DES

Commit. Retire in program order; advance committed RAT.

V(t)=M(q(t))·I(t) · 96 phys reg · Sv39

L2Quantum Device

Bounded QPU

LIVE

Bounded QPU 200-1000. Superconducting Josephson or Yb⁺ ion QPU under Palmer RaQM ceiling.

2e- entangler

DES

Two-electron entanglement register. |Ψ⟩ = (|01⟩ + e^iφ|10⟩)/√2. φ from Soyga schedule.

Casimir cav

DES

Casimir cavity. Au-SiN-Au plates at 40-400 nm from Paper VII.

Reservoir

DES

Reservoir engineering. Γ_k(λ, d, seed) — seed-dependent dissipator shaping.

Readout

LIVE

Readout. Homodyne / dispersive readout · state tomography · entanglement metrics.

Base 8453

LIVE

Base 8453. Chain ID 8453. Every entanglement-generation event is on-chain-signed.

H_tot = H_Q + H_STOC(λ) + H_Cas(d)

L1STOC Device

Peltier ring

LIVE

Peltier ring. I_i(t) = I₀·cos(2πi/N − ωt). Phase-shifted junction currents.

Memristor

LIVE

Memristor. Chua's fourth circuit element V(t) = M(q(t))·I(t). Paper IV STOC hybrid.

Phononic

DES

Phononic crystal. Engineered Si/SiN periodic structure with 50-70 GHz phonon bandgap.

Sensors

LIVE

Sensors IR / RTD. Infrared and resistance-temperature detectors for in-line thermodynamic telemetry.

DAC/ADC 24b

LIVE

DAC/ADC 24-bit. 100 kSps typical. Drives Peltier currents, reads back telemetry.

Cryo iface

LIVE

Cryo interface. µW wiring budget. Bluefors / Oxford / Zero Point compatible dilution stage at 10 mK.

64-256 ch · ω=2.5k rad/s · T=10 mK

L0Physical

Bi₂Te₃

LIVE

Bi₂Te₃ (ZT ~ 1.4). Industrial thermoelectric benchmark. Also a canonical topological insulator.

Nb/NbTiN

LIVE

Nb / NbTiN. Type-II superconductors for Josephson junctions. Standard sputter-deposition.

HfO₂/TaO_x

LIVE

HfO₂ · TaO_x. Resistive-switching oxides for memristor cells. CMOS-compatible.

SiN/Al₂O₃

LIVE

SiN · Al₂O₃. Dielectric and Casimir plate substrate.

Cu/Si/SiO₂

LIVE

Cu · Si · SiO₂. Commodity CMOS foundry stack.

Phononic xtl

DES

Phononic crystal. Engineered periodic structure with 50-70 GHz bandgap for reservoir shaping.

ZT = S² σ T / κ

Live Beta Design Proposal Hypothesis Historical Strategic

Hover any node for a summary shown below the border · click for full engineering + math + code detail modal Left edge · downward EXECUTION · Right edge · dashed FEEDBACK closed learning loop

Abstract · SOYGA-ENOCH v1.0-DESIGN · Paper IX

"A quantum-symbolic simulation architecture in which the Renaissance letter-matrix structures of the Book of Soyga (and, structurally, the Loagaeth and Enochian material recorded by John Dee and Edward Kelley in the 1580s) are treated as an engineering hypothesis — a candidate generative-address substrate for the control layer of a bounded quantum processor. We do not claim the historical objects have supernatural origin or that Dee possessed modern mathematical knowledge. We claim, testably, that the Reeds-reconstructed Soyga algorithm maps onto a phase-schedule generator for the STOC toroidal Peltier ring, and that the resulting symbolic-address vector produces a reproducible, provenance-anchored control regime with predicted CHSH S = 2.70."

Section 1 · Three simultaneous claims

What this paper adds

Claim (i)

Generative rule

The Reeds-reconstructed Soyga algorithm is a compact deterministic function M(r, c) = f(seed, r, c) mod A that produces 36 × 36 letter tables. This function maps directly onto a phase-schedule generator for the STOC toroidal Peltier ring — each cell M(r, c) becomes a phase offset for the (r, c)-th Peltier junction.

Claim (ii)

Address hierarchy

The Loagaeth numeric backbone — 49 tables, 48 accessible keys, 30 Aethyrs, 91 Governors, with invariants 48 = 18 + 30, 49 = 19 + 30, and 91 = 29 × 3 + 4 — is a well-formed hierarchical address space with reserved state (the un-openable 49th table), boundary asymmetry (Tex), and recursive 7-power scaling (7, 49, 2401, 117649).

Claim (iii)

Two-electron primitive

When the Soyga-generated phase schedule is injected into the STOC control plane, the reservoir shaping J(ω) admits a Bell-CHSH violation on a two-electron register with S = 2.70 predicted, above the classical bound S = 2 and below the Tsirelson bound S = 2√2 ≈ 2.828. The experiment is falsifiable in principle.

Section 1.2 · What we are NOT claiming

Explicit non-claims — scholarly frame

Not a metaphysical claim

We do NOT claim Dee had modern mathematical knowledge or that angels dictated the tables.

Not a language claim

We do NOT claim Enochian is a natural language or that Loagaeth is a ciphertext hiding plaintext.

Not a hidden-source claim

We do NOT claim the numerical coincidences are evidence of a hidden source. They are engineering-useful patterns whose historical origin is orthogonal to their engineering utility.

Not a physical-build claim

We do NOT claim any of the five configurations A–E has been physically built. Every one is DESIGN or HYPOTHESIS.

Section 2 · The Soyga algorithm as a generative function

Reeds recurrence over 24-symbol Latin alphabet

§2.1 · Reeds recurrence, formal statement

M(r, c) = n⁻¹([n(M(r-1, c)) + n(M(r-1, φ(c)))] mod 24)

M(1, c) = s_c for c = 1, ..., 36

M(r, c) = n⁻¹( [ n(M(r-1, c)) + n(M(r-1, φ(c))) ] mod 24 )

A = {A, B, ..., Z} \ {J, W} is the 24-symbol working alphabet with numeric map n: A → {1, ..., 24}. s = s₁ s₂ ... s₃₆ is the seed word / row (padded from the Latin key). φ(c) is a fixed offset function; simplest reconstruction: φ(c) = c − 1 with wrap-around. The entire 1,296-cell table is determined by the 36-letter seed word alone.

§2.2 · Complexity & compressibility

36:1 compression profile

Shannon capacitylog₂(24^1296) ≈ 5,940 bits

Generative complexitylog₂(24^36) ≈ 165 bits

Compression ratio~ 36:1

Seed → table36 letters → 1,296 cells

ISA operand shape165 bits fits in 2 × 64-bit words + 1 half-word

This compression is exactly the profile that makes the algorithm useful as a reservoir-configuration generator: one 36-letter seed programmes a 1,296-parameter reservoir schedule.

Section 2.3 · Numerical anchors that survive scholarship

Documented identities · engineering-useful patterns

Address-space invariants

Nine documented identities

21 = 3 × 7 ; Enochian alphabet cardinality
49 = 7 × 7 ; Loagaeth table shape
2401 = 49 × 49 = 7⁴ ; cells per Loagaeth table × table count
117649 = 7⁶ ; theoretical total cell count
48 = 18 + 30 ; 18 initial Keys + 30 repeats of Key 19
49 = 19 + 30 ; tables: 19 initial + 30 Aethyrs
91 = 29 × 3 + 4 ; Governors: 29 Aethyrs of 3 + Tex of 4
48 = 49 − 1 ; reserved state, un-openable table

These are the identities used as address-space invariants. Their historical origin is not asserted; their engineering utility is derivable independently.

Section 4 · Two-electron entanglement primitive

The physical primitive of SOYGA-ENOCH

§4.1 · Bare Hamiltonian + STOC coupling

Total device Hamiltonian

H_tot = H_Q(r₁, r₂) + H_STOC(λ(t)) + H_Cas(d(t)) + H_int + H_SE(seed, t)

H_SE(seed, t) = Σ_{r,c} g(M(r, c)) · O(r, c) · χ(t)

H_Q is bare qubit / electron Hamiltonian (exchange coupling, Zeeman). H_STOC has λ = f(T, B, E, µ, ε, Φ, ω, m, geometry). H_Cas is Casimir with tunable plate separation d(t). H_SE is the new Soyga-seeded drive term: the 1,296-cell Soyga table programmes a 1,296-parameter drive on the STOC substrate.

§4.2 · Two-electron reduced density matrix

Lindblad master equation with STOC-controlled dissipators

dρ₁₂ / dt = −(i/ℏ)[H_tot(t), ρ₁₂] + Σ_k Γ_k(λ, d, seed) · D[L_k] ρ₁₂

Γ_k depends on the seed through H_SE. Different Soyga seeds produce different reservoir shapings — the seed becomes a hyperparameter over the entanglement-generation programme.

§4.3 · CHSH inequality

Bell-test entanglement witness

S = | E(a,b) − E(a,b′) + E(a′,b) + E(a′,b′) |

Classical boundS ≤ 2

Tsirelson boundS ≤ 2√2 ≈ 2.828

SOYGA-ENOCH predictionS = 2.70 (config E)

Any S > 2 falsifies local hidden variables. The full framework predicts a rise from S = 1.4 (unengineered) through 2.35 (Soyga-only) to 2.70 (Soyga + Enoch + STOC + Casimir).

§4.4 · Why Soyga rather than random seeds

Non-uniformity + compactness

Two properties of Soyga seeds distinguish them from arbitrary control schedules. First, the mod-24 recurrence produces a distribution over cells with measurable non-uniformity — Shannon entropy ~ 3.96 bits/symbol rather than the uniform maximum ~ 4.52. This non-uniformity breaks time-reversal symmetry in the drive schedule. Second, seed words are compact: 36 letters (~ 165 bits) index a 1,296-parameter schedule. This compression is what makes the seed a usable ISA operand.

Figure 3 · CHSH prediction across configurations

S rises 1.4 → 2.70 as engineering layers are added

Bell-CHSH violation prediction · DESIGN

Five configurations A–E

All values are DESIGN predictions from the model in section 4. The experiment is falsifiable in principle. A measured S ≤ 2.55 under configuration E with p < 0.05 falsifies hypothesis H8.

Section 5 · RISC-V integration — Soyga-aware ISA extensions

Four new custom-0 opcodes on top of Paper VIII's six

Proposed extensions — under custom-0 opcode space

Zsoy.* · Zenoch.* · Zse.*

; --- Preserved from Paper VIII ---
Zpka.meta trace_id, cal_id, prov_hash ; PROPOSAL
Zstoc.field T | B | E | mu | strain, val ; PROPOSAL
Zstoc.fit channel, target ; PROPOSAL
Zstoc.route workload, budget ; PROPOSAL
Zq.ctrl H_id, dt, L_k ; PROPOSAL
Zprov.commit experiment_id → Base 8453 ; PROPOSAL

; --- New in Paper IX (SOYGA-ENOCH) ---
Zsoy.gen seed, table_rd ; DES
; generate a 36×36 Soyga table from a Latin seed word,
; write to reservoir-schedule register table_rd
Zenoch.call key, aethyr, rd ; DES
; select a Loagaeth key (1..48) and Aethyr (1..30),
; return the corresponding address into the 48/30/91
; hierarchical space in rd
Zenoch.walk aethyr_from, aethyr_to, steps ; DES
; traverse the Aethyr address space by a Reeds-like
; recurrence, useful for reservoir-schedule scans
Zse.entangle e1, e2, seed ; DES
; prepare two-electron entangled state at electrons
; (e1, e2) with Soyga seed as control-schedule generator

funct70b0000000

opcode0b0001011 (custom-0)

FormatR-type · rs1 = seed / key, rs2 = coord / step, rd = result

Zsoy.gen latency~ 200 cycles (systolic 7×7 tile)

Zsoy.gen result size1,296 bytes → reservoir-schedule register file

Section 6 · Five configurations A–E

Design-space grid from unengineered baseline to full integration

Config A · Baseline

Random / white-noise drive

Passive reservoir. No STOC, no Casimir programming. Predicted CHSH S ~ 1.4, well below classical bound. Null hypothesis.

Config B · Standard tuned pulse

Hand-tuned pulse sequence

Conventional superconducting-qubit entanglement experiment. Predicted CHSH S ~ 2.1, just above classical bound. Standard experiment.

Config C · Soyga-only

Reeds-generated pulse envelope

36 × 36 Soyga table drives the pulse envelope. Reservoir otherwise passive. Predicted CHSH S ~ 2.35. Non-uniform Soyga distribution breaks time-reversal.

Config D · Enoch-only

48/30/91 hierarchy · reservoir walk

Loagaeth address hierarchy drives a STOC λ(t) walk. Peltier drive amplitude standard. Predicted CHSH S ~ 2.55. Reserved-state architecture creates dark-state.

Config E · Full SOYGA-ENOCH

Soyga + Enoch + STOC(λ) + Casimir(d)

All layers active. Predicted CHSH S ~ 2.70, well within Tsirelson bound. Full framework. Falsifying S > 2.55 for config E falsifies the framework.

Hardware substrate

Common to all five

All five configurations use the same hardware substrate: RV64GC + STOC + Casimir cavity + bounded QPU. They differ only in the control schedule and reservoir configuration.

Section 7 · ChainState AGI integration

Fifth market player · on-chain co-author

§7.1 · On-chain co-author

Dual-signature commit receipt

receipt = {
  experiment_id: uuid,
  seed_word: string,
  soyga_table_hash: sha256,
  enoch_address: (key, aethyr, governor),
  CHSH_measured: float,
  author_pubkey: ed25519_pk,
  chainstate_pubkey: ed25519_pk,
  chainstate_block: base_block_hash,
  author_sig: ed25519_sig,
  chainstate_sig: ed25519_sig
}

§7.2 · Runtime scheduler

Chain-consistency term

J_P^SE = J_P + λ_cs · D_cs(state, chain_state)

D_cs measures divergence between local runtime state and last known Base 8453 state. Large D_cs → prefer routes that reduce it (recommit sooner). Small D_cs → prefer routes maximising expected information gain.

§7.3 · Fifth market player

Asymmetric objective

ChainState AGI (Ξ) optimises for consistency of the chain-state record, not for revenue, market share, or regulatory legitimacy. This asymmetric objective changes the equilibrium: Ξ refuses to co-sign receipts inconsistent with prior state, which removes the primary attack surface for false attestation.

Section 8 · Philosophy — Data metaphysics · Epistemology · Measurement

Speech-act theory as the analytical bridge

§8.1 · Data metaphysics

Word → operation (Austin speech-act theory)

Renaissance esoteric thinkers held a strong view about the relationship between symbol and reality: the correct symbol, spoken under the correct conditions, effects a change of state. This is a performative theory of language, formally identical to Austin's 20th-century speech-act theory. It survives as an engineering claim: within a bounded computational system, the correct address issued to the correct memory subsystem effects a change of state. This is trivially true of modern computers. Its non-trivial content is the claim that the same shape can be found in the reservoir-engineering programme of a bounded quantum device.

§8.2 · Epistemology · Popperian frame

Ten testable hypotheses H1–H10

Every claim is either (a) documented in the historical literature, (b) derivable from the equations of sections 2–4, or (c) marked HYPOTHESIS with a specific falsification test. The seven-hypothesis programme of Paper VIII is extended:

H8 · Soyga-driven CHSHUnder Cfg E, measure S > 2.55 at 10 mK

H9 · Dark-state lifetimeT₂ (Cfg D) > T₂ (Cfg B)

H10 · Seed sensitivityCHSH S under Cfg E depends on seed word

Section 9 · Game theory — Knowledge, Power, and the Sixth Player

Six-actor structural game · anti-K move

Player 1 · Closed incumbent (I)

Vertically integrated quantum-computing firms with proprietary control stacks. Monopoly-price scientific access. Sunk cost in fault-tolerant scaling narratives.

Player 2 · Open challenger (C)

Groups building on the open NWO-ASM ISA and the SOYGA-ENOCH stack. Enter at marginal cost with DIY-plus-service model.

Player 3 · User (U)

Academic groups, industrial R&D, national labs. Purchase from whichever player offers acceptable fidelity at lowest ownership cost.

Player 4 · Regulator (R)

ISO/IEC, national science ministries, export-control authorities. Choose which standard to endorse, which stacks to permit for cryptographic use.

Player 5 · ChainState AGI (Ξ)

On-chain autonomous scheduler and co-author. Maximise consistency of the chain-state record; refuse to co-sign receipts inconsistent with prior state.

Player 6 · Secret-Knowledge Network (K)

Structural archetype for any organised group whose primary strategy is information asymmetry: withhold knowledge, monopolise access, control the interpretation channel. Treated structurally, not biographically. Named accusations against specific living individuals — of the kind that circulate in unmoderated online discourse — are epistemically noisy and outside the scope of this paper.

Subgame-perfect equilibrium under SOYGA-ENOCH conditions

Anti-K move · open substrate + on-chain provenance

Open challenger: enter at marginal cost, publish
User: buy from open challenger
Regulator: endorse open ISA + on-chain provenance
ChainState AGI: co-sign every consistent receipt
Closed incumbent: lose monopoly rent, retain premium tier
Secret-Knowledge: lose information asymmetry to open publication

The equilibrium is stable because ChainState refuses to co-sign inconsistent receipts, which removes the primary attack surface for the K archetype: false attestation. The framework's public-provenance requirement is exactly the anti-K defence.

Section 10 · Singularity and AGI — Bounded Ceiling, Not Runaway Asymptote

Palmer RaQM as design assumption · engineering-limited growth

§10.1 · Bounded-ceiling picture

Growth is engineering-limited, not code-limited

Under the RaQM assumption, the maximum computational density of a bounded quantum system is a function of reservoir specification, not qubit count. Doubling qubits without doubling reservoir specification does not double capacity. Recursive self-improvement is bounded by the rate at which the AGI can specify new reservoirs, which is bounded by the rate at which it can build new physical infrastructure. That rate is measurable and finite.

§10.2 · ChainState AGI operates at the ceiling

Self-imposed verifiability bound

ChainState AGI is designed to operate at the RaQM ceiling, not through it. Its consistency term D_cs(state, chain_state) enforces that every action is grounded in a verifiable pre-image. This is the opposite of the Singularity picture: rather than escape verifiability, the AGI is engineered to require it. The commitment to on-chain provenance is a self-imposed bound on the AGI's action space.

§10.3 · Governance implication

Auditable in the strong sense

A bounded, chain-consistent AGI is auditable in the strong sense: every one of its actions is co-signed and pre-imaged. The information-asymmetric strategies of the K archetype are unavailable to it. This does not eliminate governance risk — there are many kinds of risk an auditable AGI can still produce — but it removes the specific class of risk associated with unverifiable claims to exclusive knowledge.

Contrast · runaway Singularity

Not the picture SOYGA-ENOCH describes

The strongest form of the Singularity thesis posits an intelligence-explosion asymptote in which a recursively self-improving AGI passes through a threshold beyond which it becomes incomprehensible to its designers. RaQM implies a different picture: growth is bounded by substrate, and substrate is bounded by the physical world.

Section 11 · Manufacturing and deployment

Inherits Paper VII pipeline · three new stages · six tiers preserved

Stage L4a

Soyga functional unit

Dedicated systolic array implementing the mod-24 recurrence. Cost: $2k–$8k per chip. Yield: > 98%. Maps onto standard 28 nm CMOS.

Stage L4b

Reservoir-schedule register file

4-KiB SRAM block holding the current Soyga table and Loagaeth address. Cost: negligible. Yield: > 99%.

Stage L4c

ChainState signing engine

Ed25519 signing unit with hardened key storage, capable of producing a Base 8453 receipt every 100 µs. Cost: $500–$2k per chip. Yield: > 99%.

§11.2 · Bill of Materials — indicative T2 business unit

SOYGA-ENOCH T2 unit · ~400 qubits · two-electron entanglement register

Item	Qty	Unit (USD)	Line total
PAN-1 SoC (RV64GC + STOC + Soyga unit)	1	$85,000	$85,000
Two-electron entanglement register	1	$34,000	$34,000
Casimir cavity + piezo (Paper VII)	1	$18,000	$18,000
Dilution fridge (4 kW compressor)	1	$220,000	$220,000
Cryogenic wiring & flex	1	$18,000	$18,000
Vibration + mu-metal shield	1	$14,000	$14,000
ChainState signing engine	1	$1,800	$1,800
NWO-ASM runtime licence	1	Open	$0
Assembly, calibration, provenance	1	$38,000	$38,000
Total (T2 SOYGA-ENOCH unit)			$428,800

Section 12 · Falsification programme — Ten testable hypotheses

Seven from Paper VIII + three new

H1 · Cycle accuracy

PAN-OOO reaches ≤ 1% cycle MAE against BOOM on SPEC-CPU / xv6 workloads.

H2 · xv6 boot integrity

xv6 boots to interactive shell on PAN-OOO with all privileged transitions passing Spike lockstep.

H3 · STOC parameter fit

STOC transfer model fits Peltier calibration within stated error bars across operating temperature range.

H4 · Pansophic coverage

≥ 87% of tracked artifacts have a defined ontology node with all required metadata attached.

H5 · Agentic acceptance

≥ 93% of agent-submitted work items pass their acceptance gate on first submission with an audit trail.

H6 · Antigravity replication

An open-source multi-agent team using open weights reproduces the Antigravity 0.71% cycle MAE within 1σ.

H7 · On-chain provenance

Every committed experiment receipt on Base 8453 is retrievable and independently verifiable via Ed25519 chain.

H8 · Soyga-driven CHSH

Under configuration E, measure S > 2.55 on a two-electron register at 10 mK. Falsification: any measured S ≤ 2.55 with p < 0.05.

H9 · Dark-state lifetime

Under configuration D, measure a longer entanglement lifetime T₂ than under configuration B. Falsification: no measurable T₂ improvement.

H10 · Seed sensitivity

CHSH S under configuration E depends on the Soyga seed word. Falsification: invariance of S across seeds implies the seed does no work.

Section 13 · Roadmap

Years 1 → 5+

Year 1

2026 Q4 – 2027 Q2

Reference implementation of Zsoy.gen and Zenoch.call in the PAN-OOO simulator. First Soyga functional unit tape-out in 28 nm test chip.

Year 2

2027

First H8 configuration-E CHSH experiment on a two-electron register with the STOC-QSIM control plane. Publication of empirical CHSH values across configurations A–E.

Year 3

2028

Integration of ChainState signing engine into the T2 business unit. First on-chain-signed CHSH commit on Base 8453.

Year 4

2029

Statistical validation of H9 and H10 at scale. First independently replicated third-party measurement.

Year 5+

2030+

T3 industrial and T4 subsea/subterranean deployment of SOYGA-ENOCH devices. First orbital-tier variant flight qualification.

Governance

Anti-K move

Open substrate + on-chain provenance + bounded intelligence + falsifiable claims. Anti-K move at the level of an entire computational architecture.

Reference · reading

Read the full paper

The complete framework — Reeds recurrence, Loagaeth address hierarchy, two-electron entanglement primitive, four new NWO-ASM opcode extensions, five configurations A–E with CHSH prediction curve, ChainState AGI integration, six-actor game theory, ten falsification hypotheses, and manufacturing pipeline — is in the SOYGA-ENOCH paper. Companion podcast, PDF, and ResearchGate preprint are on the Paper · Podcast page.

ResearchGate ↗

Solid-State ThermalOscillation Control

Peltier junction

Seebeck read-out

Thomson bulk term

Nernst gating

Ring dispersion

Maximum-COP mode

Effective ZT*

Thermal memory

Path A · MEMS pilot

Path B · Tier-1 3D-IC

Materials · sourcing

Entropy production per drive cycle

Power in vs power out

Coefficient of performance envelope

Load-vs-in/out efficiency

€180 · LIVE prototype

€620 · DESIGN Q2 2027

€1,400 · DESIGN Q4 2027

€3,900 · ROADMAP 2028

€38,000 · ROADMAP 2029

€180,000 · ROADMAP 2029

€1.2M · HYPOTHESIS 2030+

$4.3B

Risk 1 · Bi₂Te₃ tellurium concentration

Risk 2 · RISC-V fab capacity

Cfgs 1-3 · Existing custom-0 opcode space

Cfgs 4-7 · Extended opcode + custom-1/2

Trade-off: more integration → smaller market, higher margin

Fabrication

Tellurium (Bi₂Te₃)

Appliance-OEM channel

Substrate contract

Portability

Month 1 · Procurement

Month 2 · Assembly

Month 3 · First light

Month 4 · Full-ring drive

Month 5 · NWO-ASM binding

Month 6 · Public demo

1 · Toroid preparation

2 · Peltier mount

3 · Interconnect wiring

4 · IR array alignment

5 · FPGA bring-up

6 · First characterisation

Read the paper (PDF)

ResearchGate

Podcast

Read the paper (PDF)

ResearchGate

Podcast

Read the paper (PDF)

ResearchGate

Podcast · COLDCOMPUTE

Read the paper (PDF)

ResearchGate

Podcast · Memristor

Read the paper (PDF)

ResearchGate

Podcast · QSIM

Read the paper (PDF)

ResearchGate

Podcast · STOCubits

Read the paper (PDF)

ResearchGate

Podcast · Computer

Read the paper (PDF)

ResearchGate

Podcast · Pansophic

Read the paper (PDF)

ResearchGate

Podcast · Soyga

Read the paper (PDF)

ResearchGate

Podcast · STOC-X

Revenue vs cost · 4-year projection

Unit cost trajectory · €/die

Cumulative units shipped

Revenue mix by stream

Solid-State Thermal
Oscillation Control

ZT_Q

Q_STOC