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AutoPhi V18-Achievement -- Mid Series #373
Publicly online since 2010 · U.S. patent applications since 2012 · inventions offered since 2014. The work of Christopher Gabriel Brown, independently documented.
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AutoPhi V18-Seed Voxel Processor -- Mid Series #5b5b5b
AutoPhi V18 Mid 373: 213.16 GFLOPS Giga-class | 28nm | 1500 Qubits | Balanced power for demanding workloads
Overview
The AutoPhi V18 Mid 373 is a giga-class quantum-classical hybrid processor built on the 18-seed voxel DNA architecture at 28nm process technology. It delivers 213.16 GFLOPS peak performance with 0.644 TOPS AI acceleration across a 125x125 voxel grid (15,625 total voxels) stacked 22 layers deep (2 stack units of 18). Quantum subsystem: 1,500 qubits at 96.937% fidelity (error rate <3.063%). Clocked at 1.703 GHz with 361.8 GB/s memory bandwidth over 11 nanophotonic channels. Neuromorphic engine: 597 spiking neurons for event-driven AI processing. Power envelope: 14.7 W with 55% reduction vs 130nm baseline. Integrates 5/9 AutoPhi core technologies. Three-chromosome DNA encoding: 38-bit electron strand, 5 quantum instructions (atomic strand), 7 photon opcodes (light strand). Light-trigger initiated.
Key Specifications
| Performance | 213.16 GFLOPS (Giga-class) |
| Process Node | 28nm |
| Clock Speed | 1.703 GHz |
| AI Acceleration | 0.644 TOPS |
| Quantum Subsystem | 1,500 qubits at 96.937% fidelity (error rate <3.063%) |
| Memory Bandwidth | 361.8 GB/s |
| Nanophotonic Channels | 11 |
| Neuromorphic Engine | 597 spiking neurons |
| Power Envelope | 14.7 W |
| Power Reduction vs 130nm | 55% |
| Voxel Grid | 125x125 (15625 voxels, 22 layers, 2 stack units of 18) |
| Compute Type | CPU + GPU |
| Form Factor | Workstation |
| LED Power Recycling | 73.5% |
| EM Cooling Efficiency | 71.8% (zero moving parts) |
| DNA Encoding | 38-bit electron strand, 5 quantum instructions, 7 photon opcodes |
| Instruction Set | Red=ADD, Blue=SUB, Green=MUL, Yellow=DIV, Cyan=LOAD, Magenta=STORE, White=BRANCH |
Target Markets
- Enterprise workstations
- mid-range servers
- financial modeling
Applications
- Financial risk modeling
- medium-scale AI training
- quantum chemistry
- genomic sequencing
Manufacturing & Fabrication
| Foundry | Samsung / TSMC / GlobalFoundries |
| PDK | 28nm PDK (NDA) |
| EDA Flow | Commercial (Synopsys/Cadence) |
| Readiness | Architecture Ready -- Awaiting 28nm PDK |
Manufacturing Steps
- Obtain 28nm PDK under NDA
- Synthesize -> P&R -> foundry DRC/LVS
- Package GDSII, LEF, DEF, netlist 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
Acquisition Path
This product is available through CGB's 4-step acquisition path. The current price is shown in your cart and on the live storefront page.
- Step 1 — Proof of Function: public, $1.69 each.
- Step 2 — Mathematical Deposition: reading material under mutual NDA.
- Step 3 — Evaluation License: hands-on evaluation under NDA; fee credits toward Step 4.
- Step 4 — Full Acquisition:
