feat(quantum): NQED and AV-QKCM crates with verification framework#117
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feat(quantum): NQED and AV-QKCM crates with verification framework#117
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Novel AI-infused quantum computing capabilities research initiative with DDD structure for multi-agent coordination. ## 7 Capabilities Researched **Tier 1 (Immediate)**: - NQED: Neural Quantum Error Decoder (GNN + min-cut fusion) - AV-QKCM: Anytime-Valid Quantum Kernel Coherence Monitor **Tier 2 (Near-term)**: - QEAR: Quantum-Enhanced Attention Reservoir - QGAT-Mol: Quantum Graph Attention for Molecules - QFLG: Quantum Federated Learning Gateway **Tier 3 (Exploratory)**: - VQ-NAS: Variational Quantum-Neural Architecture Search - QARLP: Quantum-Accelerated RL Planner ## Structure - docs/research/ai-quantum-capabilities-2025.md - Main research document - docs/research/ai-quantum-swarm/ - DDD-structured research swarm - adr/ - Architecture Decision Records - ddd/ - Domain Design Documents (Bounded Contexts) - capabilities/ - Per-capability deep dives - swarm-config/ - Research swarm topology ## Key Innovations 1. GNN decoder fused with ruQu's min-cut structural coherence 2. Quantum kernels integrated with e-value anytime-valid testing 3. Quantum reservoir computing as attention mechanism 4. Coherence gate as federated learning trust arbiter Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
…amework ## New Crates ### ruvector-neural-decoder (NQED) - GNN-based quantum error decoder with Mamba O(d²) architecture - Graph attention encoder for syndrome processing - Feature fusion with ruvector-mincut integration - 61 unit tests + 14 property tests passing ### ruvector-quantum-monitor (AV-QKCM) - Anytime-valid quantum kernel coherence monitoring - E-value based sequential testing - Confidence sequences with time-uniform validity - Quantum-inspired feature maps - 48 unit tests passing ## Research Framework Updates ### ADR-002 Amendments - Added Verification Path criterion (15% weight) - Research Foundation Gate (3+ sources, 1 reproducible) - Scoring consistency anchors (high/mid/low rubrics) - Tier promotion/demotion rules (2-week, 6-week tests) - Kill criteria per capability ### New Documentation - ADR-003: NQED architecture decisions - ADR-004: AV-QKCM architecture decisions - capability-scorecard.yaml: Machine-runnable rubric - evidence-pack.yaml: NQED and AV-QKCM verification ## Performance Benchmarks - GNN forward d=11: 4.8-9.8us (target <100us) - 20x margin - SGD step: 17-20ns (target <10us) - 500x margin - InfoNCE loss: 367ns (target <10us) - excellent Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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Summary
Test plan
cargo test -p ruvector-neural-decoder --lib- 61 tests passcargo test -p ruvector-neural-decoder --test proptest_tests- 14 property tests passcargo test -p ruvector-quantum-monitor --lib- 48 tests passcargo check --workspacePerformance Benchmarks
Key Verification Updates
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