OpenSkillIndex← back to search
claude-codescience

Babysitter stim-simulator

Clifford circuit simulation skill using Stim for error correction studies

install
source · Clone the upstream repo
git clone https://github.com/a5c-ai/babysitter
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/a5c-ai/babysitter "$T" && mkdir -p ~/.claude/skills && cp -r "$T/library/specializations/domains/science/quantum-computing/skills/stim-simulator" ~/.claude/skills/a5c-ai-babysitter-stim-simulator && rm -rf "$T"
manifest: library/specializations/domains/science/quantum-computing/skills/stim-simulator/SKILL.md
tags
#quantum-simulation#error-correction#stim#circuit-analysis#noise-modeling
source content

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