Minimum-weight perfect matching decoder skill for surface code error correction
--- name: pymatching-decoder-b9e4559c5ec1 description: Minimum-weight perfect matching decoder skill for surface code error correction allowed-tools: - Bash - Read - Write - Edit - Glob - Grep metadata: specialization: quantum-computing domain: science category: error-management phase: 6 graph: domains: [domain:quantum-computing] specializations: [specialization:quantum-computing] skillAreas: [skill-area:graph-algorithms, skill-area:mathematical-reasoning, skill-area:np-hard-heuristics] workflows: [workflow:experiment-design] roles: [role:research-engineer, role:computational-scientist] --- # 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--- name: pymatching-decoder-b9e4559c5ec1 description: Minimum-weight perfect matching decoder skill for surface code error correction allowed-tools: - Bash - Read - Write - Edit - Glob - Grep metadata: specialization: quantum-computing domain: science category: error-management phase: 6 graph: domains: [domain:quantum-computing] specializations: [specialization:quantum-computing] skillAreas: [skill-area:graph-algorithms, skill-area:mathematical-reasoning, skill-area:np-hard-heuristics] workflows: [workflow:experiment-design] roles: [role:research-engineer, role:computational-scientist] --- # 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
Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.