# Conclusion

---
<!-- trackio-cell
{"type": "markdown", "id": "cell_f067ee6fffc3", "created_at": "2026-07-18T17:14:15+00:00", "title": "How to download and rerun"}
-->
## Reproduction bundle

Workspace: `metalearning-quantum-control/` (this directory) containing official code + `repro_scripts/`, `outputs/`, checkpoints (`temp_maml_claim2*.pt`), LQR/PL figures, and Trackio logbook.

### How to rerun
```bash
cd metalearning-quantum-control
uv sync
uv run python experiments/figs_appendix_classical/fig_a1_a2_lqr_simplified.py   # Claim 6
uv run python experiments/fig_2_lemma_validation/lemma_validation.py             # Claim 4
uv run python repro_scripts/eval_claim2_from_ckpt.py                             # Claim 2
uv run python repro_scripts/eval_claim5_from_ckpt.py                             # Claim 5
# Claim 3 (GPU):
hf jobs uv run --flavor a10g-small --timeout 2h --secrets HF_TOKEN \
  --env CODE_ROOT=/mnt/code --env OUT_ROOT=/mnt/outputs \
  -v hf://buckets/Sor0ush/icml-repro-metaqctrl-artifacts:/mnt \
  repro_scripts/hf_job_claim3.py
```

### Hub artifacts
- Jobs: https://huggingface.co/jobs/Sor0ush/6a5badf4d216bd6f3a1fedda (CZ GPU), https://huggingface.co/jobs/Sor0ush/6a5b49ccd216bd6f3a1fded1 (prior CZ)
- Bucket: https://huggingface.co/buckets/Sor0ush/icml-repro-metaqctrl-artifacts
- Paper: https://huggingface.co/papers/2601.18973 · https://openreview.net/forum?id=Gu9pw3D6vT

---
<!-- trackio-cell
{"type": "dashboard", "id": "cell_b71afd0bf34e", "created_at": "2026-07-18T17:14:18+00:00", "title": "Dashboard: repro-when-does-adaptation-win-scaling-laws-for-meta-learning-in-quantum-control", "dashboard_project": "repro-when-does-adaptation-win-scaling-laws-for-meta-learning-in-quantum-control"}
-->
**🎯 Trackio dashboard** `repro-when-does-adaptation-win-scaling-laws-for-meta-learning-in-quantum-control`

trackio-local-dashboard://repro-when-does-adaptation-win-scaling-laws-for-meta-learning-in-quantum-control

---
<!-- trackio-cell
{"type": "artifact", "id": "cell_80e4b9735592", "created_at": "2026-07-18T17:14:20+00:00", "title": "Reproduction bundle", "artifact": "repro-when-does-adaptation-win-scaling-laws-for-meta-learning-in-quantum-control/repro-bundle:v0", "artifact_type": "dataset"}
-->
**📦 Artifact** `repro-when-does-adaptation-win-scaling-laws-for-meta-learning-in-quantum-control/repro-bundle:v0` · dataset

https://huggingface.co/buckets/Sor0ush/repro-when-does-adaptation-win-scaling-laws-for-meta-learning-in-quantum-control-artifacts#repro-when-does-adaptation-win-scaling-laws-for-meta-learning-in-quantum-control/repro-bundle:v0