stim-simulator

# 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 1. **Circuit Construction**: Build Stim circuits with appropriate gates and noise 2. **Detector Definition**: Specify detectors for syndrome measurement 3. **Sampling**: Generate detector samples for decoding analysis 4. **Error Model**: Extract detector error models for decoder training 5. **Statistics**: Collect sufficient samples for statistical significance ## Tools/Libraries - Stim - Stimcirq - PyMatching - NumPy