README: rewrite with Quick Start (app.sh), 335-test count, teaching layer
narrative, testing/validation section, CI/CD docs, pre-commit hooks.
THE_STORY: add Part 4 (teaching layer), Part 5 (app.sh consumer experience),
update file map with all 13 test files and teaching/notebook/paper entries.
compendium.tex: update notebook count (8→12), add Plan D cross-references.
autoresearch_quantum.tex: update test counts (21→335), add app.sh validate.
learning_objectives.md: add entry point reference and assessment type glossary.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Plan D structures the material as a scientific argument chain:
- Experiment 1: Can the [[4,2,2]] code protect a magic state? (W=1.0, 12/12 errors)
- Experiment 2: How much magic survives noise? (scoring, parameter sweeps)
- Experiment 3: Can a ratchet learn to optimise? (monotonic improvement, transfer)
Each notebook follows Hypothesis → Claim → Experiment → Proof → Next Hypothesis.
Includes builder script, updated learning objectives, README, and compendium cross-ref.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- paper/compendium.tex + compendium.pdf: gentle textbook covering all
background for the notebook series — qubits, gates, magic states,
[[4,2,2]] code, stabilisers, error detection, ancilla measurement,
witness formula, noise, transpilation, scoring, ratchet optimisation,
lesson extraction, transfer evaluation. Includes glossary, math
appendix, and notebook cross-reference table.
- notebooks/learning_objectives.md: rewritten with balanced per-section
tables for all three plans (Plans B and C were previously stubs).
Covers the quantum mechanics (stabilisers, witness function, scoring),
the autoresearch engine (ratchet, strategies, lesson feedback, propagation),
all 21 test claims with falsification conditions, and a standalone usage guide.
