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Sycamore surface-code decoding release v1.1 (development without trained weights)
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metadata
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, 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, 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.