stim-simulator
// Clifford circuit simulation skill using Stim for error correction studies
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stars:384
forks:73
updated:March 4, 2026
SKILL.mdreadonly
SKILL.md Frontmatter
namestim-simulator
descriptionClifford circuit simulation skill using Stim for error correction studies
allowed-toolsBash,Read,Write,Edit,Glob,Grep
metadata[object Object]
Stim Simulator
Purpose
Provides expert guidance on fast stabilizer circuit simulation using Stim, enabling large-scale quantum error correction studies and noise analysis.
Capabilities
- Fast stabilizer circuit simulation
- Error injection and propagation
- Detector sampling
- Circuit tableau tracking
- Memory-efficient large-scale simulation
- Monte Carlo error rate estimation
- Detector error model generation
- Pauli frame simulation
Usage Guidelines
- Circuit Construction: Build Stim circuits with appropriate gates and noise
- Detector Definition: Specify detectors for syndrome measurement
- Sampling: Generate detector samples for decoding analysis
- Error Model: Extract detector error models for decoder training
- Statistics: Collect sufficient samples for statistical significance
Tools/Libraries
- Stim
- Stimcirq
- PyMatching
- NumPy