Know exactly where to go in under a minute.
Full end-to-end architecture, component breakdown, Mermaid diagrams, state machines.
→ research/RESEARCH_PAPER_DRAFT.md
~15,000 words · 9 sections · publication-ready. All experiments, benchmarks, and findings.
→ technical/IMPLEMENTATION_NOTES.md
Complete optimization journey — bottleneck discovery, Phase 1 fix, Phase 2 failure, Phase 3 pivot.
→ research/MATHEMATICAL_APPENDIX.md
~8,000 words of rigorous derivations: QUBO→Ising, parameter-shift rule, Amdahl's Law proofs.
→ research/QUANTUM_SCALING_STRATEGY.md
Why we pivoted from speed tricks to scaling demonstration. Crossover predictions, success criteria.
→ technical/GRADIENT_OPTIMIZATION_POSTMORTEM.md
Honest analysis: parameter-shift gradients were 2–3× slower. Root cause: 8× evaluation overhead.
→ ../DEPLOYMENT-MANUAL.md then LIGHTSAIL-DEPLOYMENT.md
→ FINANCIAL_MODELING_FOUNDATIONS.md
Track A (corporate finance) vs Track B (quantum finance optimization) — which problem fits quantum.
5-milestone evolution: SDK platform → open node network → research engine → service swarm → self-healing.
→ research/ALTERNATIVE_QUANTUM_FINANCE_PROBLEMS.md
Option pricing QAE (proven 100× speedup), credit risk, yield curves.
Question: Can quantum optimize portfolios faster than classical?
| Scale | Classical | Quantum | Winner |
|---|---|---|---|
| ≤ 20 assets | Fast | 50–100× slower | Classical |
| ≥ 40 assets | Exponential | ~Constant | Quantum |
Bottleneck: 97% of quantum runtime is classical COBYLA parameter search — not the quantum circuit.
Key insight: Advantage comes from scaling behavior, not raw speed.
docs/
├── START_HERE.md ← YOU ARE HERE
├── ARCHITECTURE.md ← System architecture (deep dive)
├── design.md ← Design rationale and tradeoffs
├── requirements.md ← Functional / non-functional requirements
├── FINANCIAL_MODELING_FOUNDATIONS.md ← Finance theory and quantum use case framing
├── FUTURE_ROADMAP.md ← Long-term 5-milestone roadmap
├── IPFS_INTEGRATION_STRATEGIC_VISION.md ← VAULT / IPFS vision (Phase 2)
├── LIGHTSAIL-DEPLOYMENT.md ← Lightsail-specific deployment guide
├── QAE_ENHANCEMENT_NOTE.md ← Quantum Amplitude Estimation extension
├── ipfs-progress.md ← VAULT Phase 1 task tracker
│
├── research/ ← Publication materials
│ ├── RESEARCH_PAPER_DRAFT.md Main paper
│ ├── MATHEMATICAL_APPENDIX.md Formal proofs
│ ├── QUANTUM_SCALING_STRATEGY.md Scaling hypothesis
│ ├── ALTERNATIVE_QUANTUM_FINANCE_PROBLEMS.md
│ └── DATASET_DOWNLOAD_STRATEGY.md
│
├── technical/ ← Implementation details
│ ├── IMPLEMENTATION_NOTES.md Optimization journey
│ ├── GRADIENT_OPTIMIZATION_POSTMORTEM.md
│ ├── QAOA_OPTIMIZATION_RESEARCH.md Literature survey
│ └── BENCHMARK.md Original benchmark analysis
│
└── future-roadmap/ ← Per-milestone roadmap docs
├── 00-sequencing-and-program-plan.md
├── 01-production-sdk-and-platform.md
├── 02-bring-your-own-node-network.md
├── 03-autonomous-research-and-drug-discovery-platform.md
├── 04-torrent-native-service-network.md
└── 05-hydra-self-healing-network.md
| Goal | Start Here |
|---|---|
| Write thesis/paper | research/RESEARCH_PAPER_DRAFT.md → research/MATHEMATICAL_APPENDIX.md |
| Replicate experiments | technical/IMPLEMENTATION_NOTES.md → ../backend/scripts/ |
| Understand quantum advantage | research/QUANTUM_SCALING_STRATEGY.md → research/MATHEMATICAL_APPENDIX.md §F |
| Understand system internals | ARCHITECTURE.md → design.md |
| Make product/advisor decisions | research/QUANTUM_SCALING_STRATEGY.md → research/ALTERNATIVE_QUANTUM_FINANCE_PROBLEMS.md |
| Deploy to production | ../DEPLOYMENT-MANUAL.md → LIGHTSAIL-DEPLOYMENT.md |
- First detailed QAOA bottleneck analysis in a financial application
- Amdahl's Law proof showing distributed execution gives ≤1.03× speedup when 97% is serial
- Transparent failure documentation — gradient optimization postmortem with root cause
- Scaling characterization — quantum advantage crossover at N=40–50 assets