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… DDD design documents Comprehensive architecture decision records and domain-driven design documentation for integrating a Rust-based quantum simulation engine (ruQu) into the ruVector stack. ADR Series (12 documents): - QE-001: Core Architecture - pure Rust state-vector simulator decision - QE-002: Crate Structure - three-crate architecture (ruqu-core, ruqu-wasm, ruqu-algorithms) - QE-003: WASM Compilation - WebAssembly strategy with 25-qubit limit enforcement - QE-004: Performance Optimization - SIMD, multithreading, gate fusion, benchmarks - QE-005: VQE Algorithm - variational eigensolver with exact expectation values - QE-006: Grover Search - O(1) oracle optimization via direct state vector access - QE-007: QAOA MaxCut - graph-based optimization with Rzz native gates - QE-008: Surface Code Error Correction - mid-circuit measurement, syndrome extraction - QE-009: Tensor Network Evaluation - MPS/contraction for shallow circuits - QE-010: Observability & Monitoring - metrics, tracing, health checks integration - QE-011: Memory Gating & Power Management - zero-idle, on-demand allocation - QE-012: Min-Cut Coherence Integration - syndrome-to-decoder bridge with ruQu DDD Design (3 documents): - Strategic Design: 6 bounded contexts, context map, ubiquitous language - Tactical Design: 6 aggregates, 20+ value objects, 15+ domain events, services - Integration Patterns: anti-corruption layers, shared kernel, event flows https://claude.ai/code/session_01B1NkbLDWYPaacS9miKsnvW
…, ruqu-wasm) Full Rust implementation of the quantum simulation engine as specified in ADR-QE-001 through ADR-QE-012: ruqu-core: State-vector simulator with 2^n complex amplitudes, single and two-qubit gate kernels (H, X, Y, Z, S, T, Rx, Ry, Rz, CNOT, CZ, SWAP, Rzz), projective measurement with collapse, expectation values for Pauli strings and Hamiltonians, gate fusion optimizer, circuit builder API, and multi-shot simulator with noise model support. ruqu-algorithms: VQE with hardware-efficient ansatz and parameter-shift gradients, Grover's search with optimal iteration count, QAOA MaxCut with Rzz phase separation, and distance-3 rotated surface code with syndrome extraction and lookup decoder. ruqu-wasm: WebAssembly bindings via wasm-bindgen exposing circuit construction, simulation, Grover search, and QAOA to browser clients with 25-qubit memory limit. 257 tests passing across all crates. Criterion benchmarks included for gate throughput, bell state preparation, algorithm scaling, and memory allocation across 4-20 qubit systems. https://claude.ai/code/session_01B1NkbLDWYPaacS9miKsnvW
Complete proof of Deutsch's theorem with phase kickback lemma and step-by-step derivation. Compares five major formulations: - Deutsch (1985): original probabilistic version (p=1/2) - Deutsch-Jozsa (1992): deterministic n-bit, 2 queries - Cleve-Ekert-Macchiavello-Mosca (1998): deterministic, single query - Nielsen-Chuang (2000): canonical textbook presentation - Calude (2006): de-quantization using higher-dimensional classical bits Includes de-quantization critique (Abbott et al.), classical wave analogies, and analysis of when quantum advantage is genuine vs artifactual. Adds 6 verification tests to ruqu-algorithms confirming all four oracles produce deterministic correct results via the ruqu-core simulator, including a phase-kickback amplitude-level check. https://claude.ai/code/session_01B1NkbLDWYPaacS9miKsnvW
…warm interference Initial scaffold for 8 exotic quantum-classical hybrid algorithms: - Quantum-shaped memory decay (embeddings decohere instead of deletion) - Interference-based concept disambiguation (amplitude-space retrieval) - Quantum-driven search collapse (superposition → measurement retrieval) - Quantum-modulated agent swarms (interference instead of voting) - Error-corrected reasoning traces (QEC on reasoning steps) - Syndrome-based AI self diagnosis (fault localization via syndromes) - Time-reversible memory (counterfactual debugging) - Browser-native quantum reality checks (verification circuits) Includes complete implementations for quantum_collapse and swarm_interference modules. Remaining modules being implemented by concurrent agents. https://claude.ai/code/session_01B1NkbLDWYPaacS9miKsnvW
…C reasoning, syndrome diagnosis) quantum_decay: Embeddings decohere via quantum noise channels instead of TTL deletion. Phase fidelity degrades smoothly before magnitude, giving structured forgetfulness. interference_search: Concepts represented as amplitude superpositions. Retrieval uses constructive/destructive interference in complex space instead of cosine similarity reranking. reasoning_qec: Reasoning steps encoded as qubits with repetition-code syndrome extraction. Detects structural incoherence in reasoning traces via parity checks between adjacent steps. syndrome_diagnosis: System components mapped to a quantum graph. Fault injection + syndrome extraction localizes fragile components and identifies fault propagation paths. https://claude.ai/code/session_01B1NkbLDWYPaacS9miKsnvW
…scoveries Add reversible_memory.rs: time-reversible quantum state with gate inversion, rewind, counterfactual analysis, and sensitivity analysis. Add reality_check.rs: browser-native verification circuits for superposition, entanglement, interference, phase kickback, and no-cloning theorem. Add comprehensive integration test suite (42 tests) covering all 8 exotic modules plus 4 cross-module discovery experiments: - Decoherence trajectory fingerprinting (similar embeddings decohere similarly) - Interference-based polysemy resolution (context resolves word meanings) - Counterfactual dependency mapping (identify critical vs redundant operations) - Swarm phase alignment (phase-coherent agents outperform count-based voting) Fix flaky unit tests in quantum_decay and quantum_collapse modules. 99 total tests: 57 lib + 42 integration, all passing. https://claude.ai/code/session_01B1NkbLDWYPaacS9miKsnvW
Documents 4 validated Phase 1 discoveries: - Decoherence trajectory fingerprinting (clustering without similarity) - Interference-based polysemy resolution (microsecond disambiguation) - Counterfactual dependency mapping (pipeline importance scoring) - Phase-coherent swarm coordination (quality > headcount) Outlines 8 Phase 2 hypotheses for cross-module experiments including time-dependent disambiguation, QEC on swarm reasoning, counterfactual search explanation, and the full decohere-interfere-collapse-verify pipeline. https://claude.ai/code/session_01B1NkbLDWYPaacS9miKsnvW
…ated Discovery 5: Time-dependent disambiguation (decay + interference) Faster-decohering meaning loses embedding structure over time, shifting which meaning wins. "Financial" starts dominant but "river" takes over as financial embedding decoheres faster. Discovery 6: QEC on swarm reasoning chains (reasoning_qec + swarm) Syndrome bits map to agent boundaries. Fired syndromes indicate where adjacent agents disagree, enabling targeted identification of incoherent reasoning steps. Discovery 7: Counterfactual search explanation (collapse + reversible) Removing each gate and measuring divergence reveals which operation was most responsible for a search result. Ry gate (divergence=0.45) vs identity-like gate (divergence=0.0). Discovery 8: Syndrome-diagnosed swarm health (diagnosis + swarm) Syndrome extraction localizes faults to the disruptor's neighborhood. Low-health agent creates structural vulnerability that propagates through connected components. Discovery 9: Decoherence as differential privacy (decay + collapse) Light noise (0.01): preserves top results, divergence=0.12, entropy=1.44 Heavy noise (1.0): randomizes results, divergence=0.61, entropy=2.07 Calibrated decoherence provides tunable privacy for embedding search. Discovery 10: Full 4-module pipeline (decay→interfere→collapse→QEC) Fresh knowledge (fidelity=0.99): correct results, 0 QEC syndromes Stale knowledge (fidelity=0.28): corrupted results, QEC detects degradation Pipeline degrades gracefully with automatic reliability signaling. 105 total tests: 57 lib + 42 Phase 1 integration + 6 Phase 2 discoveries https://claude.ai/code/session_01B1NkbLDWYPaacS9miKsnvW
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feat: Add quantum simulation engine ADR series (QE-001 to QE-012) and DDD design documents
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Comprehensive architecture decision records and domain-driven design documentation
for integrating a Rust-based quantum simulation engine (ruQu) into the ruVector stack.
ADR Series (12 documents):
DDD Design (3 documents):
https://claude.ai/code/session_01B1NkbLDWYPaacS9miKsnvW