pymatching-decoder

# 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