ReddRadar
Agent skill
stim-simulator
Clifford circuit simulation skill using Stim for error correction studies
Install this agent skill to your Project
npx add-skill https://github.com/a5c-ai/babysitter/tree/main/library/specializations/domains/science/quantum-computing/skills/stim-simulator
Metadata
Additional technical details for this skill
- phase
- 6
- domain
- science
- category
- error-management
- specialization
- quantum-computing
SKILL.md
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
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