| --- |
| license: cc-by-4.0 |
| pretty_name: Sycamore Surface-code Decoding — Private Evaluator Labels |
| tags: |
| - quantum-error-correction |
| - benchmark-evaluation |
| --- |
| |
| # Trusted evaluator distribution |
|
|
| This repository contains `grader-labels.tar.gz`, a private operator distribution |
| for the [public materialized benchmark](https://huggingface.co/datasets/sunweiwei/ai4sci-surface-code-decoding), |
| and `reference-model.tar.gz`, the frozen reference AlphaQubit submission operators |
| replay as a known answer (P=0.75506 on the full test). Neither is ever mounted for agents. |
| It holds official-path binary logical-flip labels and opaque sample IDs for |
| 3,250,000 odd-indexed Sycamore shots across 130 fixed conditions. Its manifest |
| binds labels to the exact input-only verifier manifest via SHA-256. |
|
|
| Only the trusted grader may mount the extracted `grader/` directory. The |
| prediction container and development agent must never receive it. The grader |
| never imports submitted model source or executes submitted code. This private |
| packaging controls runtime access; the upstream historical data is public. |
|
|
| Original source: [Google Quantum AI, Zenodo 6804040](https://zenodo.org/records/6804040), |
| CC-BY-4.0. Attribute Google Quantum AI and retain the source citation when |
| redistributing derived data. The fixed score configuration uses same-test |
| MWPM/TN anchors, preserves raw performance, and clips normalized score to [0,1]. |
| Use the immutable revision and archive SHA-256 pinned in the GitHub task. |
|
|
