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QEC decoder accuracy on fixed circuit-level memory experiments

A decoder decides whether error correction works on real circuits. Fixed shots with hidden labels let decoders be compared on identical circuit-level data.

Submit

Instance: Code and noise model

Submitting to QEC decoder accuracy, Color d = 7 superdense (development)

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Check your file first

  1. Download the verifier bundle and extract it. It contains the verifier, every instance file and an accepted example.

    Download verifier bundle

  2. Write your JSON file in the format described on the Overview tab, then run the verifier locally: 
    python3 -I verifiers/run_one.py decoder color7-uniform-v1-dev my_file.json

Ranked labels are private: the local check reports only whether the format is valid. Each account has at most 16 scored or pending submissions per ranked instance (rejected files do not count); see the Rules.

Submit with the API

Create a token on your account page, then:

curl -sS -X POST -H "Authorization: Bearer $QARENA_TOKEN" --data-binary @my_file.json \
     "https://qarena.ai/api/v0/submit/decoder/color7-uniform-v1-dev?visibility=private"

Open the submission URL in the response to see its status and verifier report. Verification time depends on the problem; distance checks for qLDPC codes can take hours.