Babysitter noise-modeler

Quantum noise modeling skill for simulation and hardware characterization

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 "$T/library/specializations/domains/science/quantum-computing/skills/noise-modeler" ~/.claude/skills/a5c-ai-babysitter-noise-modeler && rm -rf "$T"
manifest: library/specializations/domains/science/quantum-computing/skills/noise-modeler/SKILL.md
source content

Noise Modeler

Purpose

Provides expert guidance on quantum noise modeling for realistic simulation and hardware characterization analysis.

Capabilities

  • Depolarizing channel modeling
  • Amplitude damping models
  • Phase damping models
  • Crosstalk noise models
  • Readout error modeling
  • Custom noise model construction
  • Kraus operator representation
  • Pauli channel conversion

Usage Guidelines

  1. Noise Identification: Determine dominant noise sources from benchmarking data
  2. Model Construction: Build appropriate noise channels for each error type
  3. Parameter Extraction: Fit model parameters to experimental data
  4. Simulation Integration: Apply noise models to circuit simulations
  5. Validation: Compare noisy simulations with hardware results

Tools/Libraries

  • Qiskit Aer
  • Cirq
  • PennyLane
  • QuTiP
  • NumPy