Noise modeler
Skill a5c-ai/babysitter/library/specializations/domains/science/quantum-computing/skills/noise-modeler
Quantum noise modeling skill for simulation and hardware characterizationFrom its SKILL.md
npx -y skills add a5c-ai/babysitter --skill noise-modelerAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
SKILL.md
1.4 KB, 176 tokens by cl100k_base, as published. Nobody here has run it
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
- Noise Identification: Determine dominant noise sources from benchmarking data
- Model Construction: Build appropriate noise channels for each error type
- Parameter Extraction: Fit model parameters to experimental data
- Simulation Integration: Apply noise models to circuit simulations
- Validation: Compare noisy simulations with hardware results
Tools/Libraries
- Qiskit Aer
- Cirq
- PennyLane
- QuTiP
- NumPy
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.