Stim Simulator

Clifford circuit simulation skill using Stim for error correction studies

a5c-ai Updated 1.7k repo stars

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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

a5c-ai/babysitter/tree/main/library/specializations/domains/science/quantum-computing/skills/stim-simulator commit 6c279b3e5e

Frequently asked questions

npx skillmds@latest add a5c-ai/stim-simulator