mitiq-error-mitigator

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Error mitigation skill using Mitiq for NISQ device noise reduction

AI & Automation 814 stars 53 forks Updated today MIT

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Skill Content

# Mitiq Error Mitigator ## Purpose Provides expert guidance on error mitigation techniques for NISQ devices using Mitiq, reducing the impact of noise without full quantum error correction. ## Capabilities - Zero-noise extrapolation (ZNE) - Probabilistic error cancellation (PEC) - Clifford data regression (CDR) - Digital dynamical decoupling - Pauli twirling - Learning-based error mitigation - Noise scaling methods - Extrapolation fitting ## Usage Guidelines 1. **Technique Selection**: Choose mitigation method based on noise characteristics 2. **Noise Scaling**: Configure appropriate noise amplification factors 3. **Extrapolation**: Select fitting model for zero-noise extrapolation 4. **Overhead Analysis**: Evaluate sampling overhead vs. accuracy improvement 5. **Validation**: Compare mitigated results with theoretical expectations ## Tools/Libraries - Mitiq - Qiskit - Cirq - PennyLane - NumPy

Details

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

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