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