Agent-Skills.md

Agent Skills: Noise Modeler

Quantum noise modeling skill for simulation and hardware characterization

error-managementID: a5c-ai/babysitter/noise-modeler

Repository

a5c-ai/babysitter
a5c-aiLicense: MIT
244

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pnpm dlx add-skill https://github.com/a5c-ai/babysitter/tree/HEAD/plugins/babysitter/skills/babysit/process/specializations/domains/science/quantum-computing/skills/noise-modeler

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plugins/babysitter/skills/babysit/process/specializations/domains/science/quantum-computing/skills/noise-modeler/SKILL.md

Skill Metadata

Name
noise-modeler
Description
Quantum noise modeling skill for simulation and hardware characterization

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