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Pymatching decoder

Skill a5c-ai/babysitter/library/specializations/domains/science/quantum-computing/skills/pymatching-decoder

Minimum-weight perfect matching decoder skill for surface code error correctionFrom its SKILL.md

Install
npx -y skills add a5c-ai/babysitter --skill pymatching-decoder

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

SKILL.md

1.5 KB, 177 tokens by cl100k_base, as published. Nobody here has run it

PyMatching Decoder

Purpose

Provides expert guidance on minimum-weight perfect matching decoding for surface codes and other topological quantum error correction codes.

Capabilities

  • MWPM decoding for surface codes
  • Weighted edge matching
  • Detector error model processing
  • Logical error rate calculation
  • Integration with Stim simulations
  • Custom graph construction
  • Belief propagation integration
  • Parallelized decoding

Usage Guidelines

  1. Graph Construction: Build matching graph from detector error model
  2. Weight Assignment: Configure edge weights based on error probabilities
  3. Decoding Execution: Run MWPM algorithm on syndrome data
  4. Error Analysis: Calculate logical error rates from decoding results
  5. Optimization: Tune decoder parameters for specific code structures

Tools/Libraries

  • PyMatching
  • NetworkX
  • Stim
  • NumPy

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

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