Agent-Skills.md

Agent Skills: PyMatching Decoder

Minimum-weight perfect matching decoder skill for surface code error correction

error-managementID: a5c-ai/babysitter/pymatching-decoder

Repository

a5c-ai/babysitter
a5c-aiLicense: MIT
244

Install this agent skill to your local

pnpm dlx add-skill https://github.com/a5c-ai/babysitter/tree/HEAD/plugins/babysitter/skills/babysit/process/specializations/domains/science/quantum-computing/skills/pymatching-decoder

Skill Files

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plugins/babysitter/skills/babysit/process/specializations/domains/science/quantum-computing/skills/pymatching-decoder/SKILL.md

Skill Metadata

Name
pymatching-decoder
Description
Minimum-weight perfect matching decoder skill for surface code error correction

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