Stim Simulator

SkillDev tools

Clifford circuit simulation skill using Stim for error correction studies

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the Stim Simulator skill

What this skill tells your AI

The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/science/quantum-computing/skills/stim-simulator/SKILL.md and read by ahel’s review.

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

Signals

GitHub stars: 2k
Forks: 112
Last commit: Sep 2026

Advanced

Item type: skill
Key: stim-simulator
Source: github.com/a5c-ai/babysitter

github.com/a5c-ai/babysitter