noise-modeler

Solid

Quantum noise modeling skill for simulation and hardware characterization

AI & Automation 814 stars 53 forks Updated today MIT

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Quality Score: 93/100

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Skill 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

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

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