Stim simulator
Skill a5c-ai/babysitter/library/specializations/domains/science/quantum-computing/skills/stim-simulator
Clifford circuit simulation skill using Stim for error correction studiesFrom its SKILL.md
npx -y skills add a5c-ai/babysitter --skill stim-simulatorAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
SKILL.md
1.5 KB, 174 tokens by cl100k_base, as published. Nobody here has run it
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
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.