AutoPhi V18-Achievement -- Volume Series #837
Publicly online since 2010 · U.S. patent applications since 2012 · inventions offered since 2014. The work of Christopher Gabriel Brown, independently documented.
AutoPhi V18-Seed Voxel Processor -- Volume Series #837
AutoPhi V18 Volume 837: 16.69 EFLOPS Exa-class | 2nm | 1175729 Qubits | Datacenter-scale quantum power
Overview
The AutoPhi V18 Volume 837 is a exa-class quantum-classical hybrid processor built on the 18-seed voxel DNA architecture at 2nm process technology. It delivers 16.69 EFLOPS peak performance with 2056.62 TOPS AI acceleration across a 1885x1885 voxel grid (3,553,225 total voxels) stacked 241 layers deep (14 stack units of 18). Quantum subsystem: 1,175,729 qubits at 99.232% fidelity (error rate <0.768%) with 353,954 QEC-protected logical qubits. Clocked at 7.294 GHz with 9.93 PB/s memory bandwidth over 703 nanophotonic channels. Neuromorphic engine: 57.0M spiking neurons for event-driven AI processing. Power envelope: 19.8 kW with 90% reduction vs 130nm baseline. Integrates 9/9 AutoPhi core technologies. Three-chromosome DNA encoding: 260-bit electron strand, 32 quantum instructions (atomic strand), 15 photon opcodes (light strand). Light-trigger initiated.
Key Specifications
| Performance | 16.69 EFLOPS (Exa-class) |
| Process Node | 2nm |
| Clock Speed | 7.294 GHz |
| AI Acceleration | 2056.62 TOPS |
| Quantum Subsystem | 1,175,729 qubits at 99.232% fidelity (error rate <0.768%) |
| QEC Logical Qubits | 353,954 |
| Memory Bandwidth | 9.93 PB/s |
| Nanophotonic Channels | 703 |
| Neuromorphic Engine | 57.0M spiking neurons |
| Power Envelope | 19.8 kW |
| Power Reduction vs 130nm | 90% |
| Voxel Grid | 1885x1885 (3553225 voxels, 241 layers, 14 stack units of 18) |
| Compute Type | Full CPU + max-GPU + full-DPU |
| Form Factor | Datacenter card |
| LED Power Recycling | 90% |
| EM Cooling Efficiency | 96.3% (zero moving parts) |
| Quantum Battery Layers | 15 |
| DNA Encoding | 260-bit electron strand, 32 quantum instructions, 15 photon opcodes |
| Instruction Set | Red=ADD, Blue=SUB, Green=MUL, Yellow=DIV, Cyan=LOAD, Magenta=STORE, White=BRANCH, UV=QGATE, IR=SYNC, Orange=MEASURE, Violet=ENTANGLE, Lime=NEURON, Teal=DMA, Pink=SECURITY, Gold=SANITARY |
Target Markets
- Supercomputer racks
- hyperscale cloud
- autonomous vehicle fleets
Applications
- Exascale scientific simulation
- national defense
- climate modeling
- fusion reactor optimization
Pricing & Economics
| AES Tier | AES Tier 5 -- Volume ($50M - $200M) |
| IP Valuation | $81.63B |
| AES COGS | $85.47M |
| AES Sell Price | $427.37M |
| Gross Margin | 80% |
| Revenue Multiple | 30x |
| 5-Year Revenue Projection | $12.82B |
| ROI | 400% |
| Warranty & Support | 10-year enterprise; 24x7 critical; field engineering team |
Manufacturing & Fabrication
| Foundry | TSMC N2 / Intel 20A |
| PDK | 2nm PDK (NDA) |
| EDA Flow | Commercial (Synopsys/Cadence) + GAA/BSPDN |
| Readiness | Architecture Ready -- Awaiting 2nm NDA/PDK |
Manufacturing Steps
- Obtain TSMC N2 or Intel 20A PDK under NDA
- Synthesize with next-gen GAA + backside power
- P&R -> DRC/LVS
- Package per FOUNDRY_STANDARDS.md
- Submit via foundry portal
Deliverables
- GDSII (mask layout)
- LEF (library exchange)
- DEF (design exchange)
- Gate-level netlist (Verilog)
- DRC report
- LVS report
- FOUNDRY_HANDOFF_SIMPLE.txt
- RTL (autophi_light_cpu_core.v + autophi_quantum_cpu_core.v + autophi_hybrid_cpu_top.v)
- Synthesis scripts
- P&R configurations
- Manufacturing documentation
- Performance projections
RTL Design Files
autophi_light_cpu_core.vautophi_quantum_cpu_core.vautophi_hybrid_cpu_top.v