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Documentation Navigator

Know exactly where to go in under a minute.


Pick Your Path

I want to understand the system architecture

ARCHITECTURE.md

Full end-to-end architecture, component breakdown, Mermaid diagrams, state machines.

I want the research paper (QAOA + portfolio optimization)

research/RESEARCH_PAPER_DRAFT.md

~15,000 words · 9 sections · publication-ready. All experiments, benchmarks, and findings.

I want implementation/technical notes

technical/IMPLEMENTATION_NOTES.md

Complete optimization journey — bottleneck discovery, Phase 1 fix, Phase 2 failure, Phase 3 pivot.

I want mathematical proofs

research/MATHEMATICAL_APPENDIX.md

~8,000 words of rigorous derivations: QUBO→Ising, parameter-shift rule, Amdahl's Law proofs.

I want the current quantum scaling strategy

research/QUANTUM_SCALING_STRATEGY.md

Why we pivoted from speed tricks to scaling demonstration. Crossover predictions, success criteria.

I want to understand what failed

technical/GRADIENT_OPTIMIZATION_POSTMORTEM.md

Honest analysis: parameter-shift gradients were 2–3× slower. Root cause: 8× evaluation overhead.

I want to deploy the platform

../DEPLOYMENT-MANUAL.md then LIGHTSAIL-DEPLOYMENT.md

I want to understand finance theory and the quantum use case

FINANCIAL_MODELING_FOUNDATIONS.md

Track A (corporate finance) vs Track B (quantum finance optimization) — which problem fits quantum.

I want the long-term product roadmap

FUTURE_ROADMAP.md

5-milestone evolution: SDK platform → open node network → research engine → service swarm → self-healing.

I want alternative quantum finance problems (backup plan)

research/ALTERNATIVE_QUANTUM_FINANCE_PROBLEMS.md

Option pricing QAE (proven 100× speedup), credit risk, yield curves.


Research Summary (30-second read)

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.


Folder Structure

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

Read by Goal

Goal Start Here
Write thesis/paper research/RESEARCH_PAPER_DRAFT.mdresearch/MATHEMATICAL_APPENDIX.md
Replicate experiments technical/IMPLEMENTATION_NOTES.md../backend/scripts/
Understand quantum advantage research/QUANTUM_SCALING_STRATEGY.mdresearch/MATHEMATICAL_APPENDIX.md §F
Understand system internals ARCHITECTURE.mddesign.md
Make product/advisor decisions research/QUANTUM_SCALING_STRATEGY.mdresearch/ALTERNATIVE_QUANTUM_FINANCE_PROBLEMS.md
Deploy to production ../DEPLOYMENT-MANUAL.mdLIGHTSAIL-DEPLOYMENT.md

Key Research Contributions

  1. First detailed QAOA bottleneck analysis in a financial application
  2. Amdahl's Law proof showing distributed execution gives ≤1.03× speedup when 97% is serial
  3. Transparent failure documentation — gradient optimization postmortem with root cause
  4. Scaling characterization — quantum advantage crossover at N=40–50 assets