Claim 3: Two-qubit CZ under 10x noise: >40pp fidelity gain
Setup
Two-qubit CZ MAML under 10× training noise (repro_scripts/verify_claim3_gpu.py → experiments/fig_5_two_qubit_cz/). Training noise (\gamma\sim[0.001,0.01]); OOD test task ((\gamma_{\mathrm{deph}},\gamma_{\mathrm{relax}})=(0.1,0.05)).
Runs
- Prior long CPU-on-T4 attempt (cancelled after ~7h, mid-train): https://huggingface.co/jobs/Sor0ush/6a5b49ccd216bd6f3a1fded1 — at iter 500 already showed Val Pre ≈ 54–56%, Val Post ≈ 97%, Gap ≈ +42–43 pp (paper: 54.2% → 95.7%).
- Fresh GPU job (a10g-small, 1000 iters): https://huggingface.co/jobs/Sor0ush/6a5badf4d216bd6f3a1fedda
Paper targets: (R^2=0.986), (\beta=0.333), >40 pp gain at (K=10).
Final evidence (as of logbook close)
Prior T4 job mid-train https://huggingface.co/jobs/Sor0ush/6a5b49ccd216bd6f3a1fded1 (later cancelled): at iter 500, Val Pre ≈ 54–56%, Val Post ≈ 97%, Gap ≈ +42–43 pp — matches paper 54.2% → 95.7% (>40 pp) under 10× noise.
GPU job https://huggingface.co/jobs/Sor0ush/6a5badf4d216bd6f3a1fedda (a10g-small, verify_claim3_gpu.py, 1000 iters): started with Iter 0 Pre 50.7% / Post 64.2%; still running at publish time for full (K)-curve (R^2/\beta) fit.
Verdict: Core Claim 3 fidelity jump reproduces in training dynamics; full exponential-fit constants pending final job completion (check Job logs / outputs/claim3 on the artifacts bucket).
Quantitative mid-train evidence (prior job)
Job https://huggingface.co/jobs/Sor0ush/6a5b49ccd216bd6f3a1fded1 (verify_claim_3.py, later cancelled; CPU-on-T4):
| Iter | Val Pre | Val Post | Gap |
|---|---|---|---|
| 100 | 55.6% | 97.2% | +41.6 pp |
| 200 | 54.8% | 97.3% | +42.4 pp |
| 300 | 54.8% | 97.2% | +42.4 pp |
| 400 | 53.8% | 97.2% | +43.4 pp |
| 500 | 53.7% | 97.2% | +43.4 pp |
Paper: 54.2% → 95.7% (+41.5 pp) under 10× OOD noise. >40 pp gain reproduces in training dynamics well before full schedule completion.
Fresh GPU job https://huggingface.co/jobs/Sor0ush/6a5badf4d216bd6f3a1fedda is running the full K-curve fit ((R^2), (\beta)); check outputs/claim3/claim3_results.json on the artifacts bucket when it finishes.