pymatching-decoder

Included with Lifetime

$97 forever

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

General

What this skill does


# 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

Files: 1

Size: 1.2 KB

Complexity: 8/100

Category: General

Source: https://github.com/a5c-ai/babysitter/tree/main/library/specializations/domains/science/quantum-computing/skills/pymatching-decoder

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