calibration-analyzer

Solid

Hardware calibration data analysis skill for optimal qubit selection

AI & Automation 814 stars 53 forks Updated today MIT

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Quality Score: 93/100

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Description 5%
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Skill Content

# Calibration Analyzer ## Purpose Provides expert guidance on analyzing quantum hardware calibration data to select optimal qubits and gate configurations for circuit execution. ## Capabilities - T1/T2 coherence analysis - Gate error rate parsing - Readout error analysis - Crosstalk characterization - Qubit quality ranking - Temporal calibration tracking - Error budget calculation - Calibration drift detection ## Usage Guidelines 1. **Data Retrieval**: Fetch latest calibration data from backend 2. **Metric Extraction**: Parse T1, T2, gate fidelities, and readout errors 3. **Quality Ranking**: Score qubits based on weighted metrics 4. **Selection**: Choose optimal qubits for circuit execution 5. **Monitoring**: Track calibration changes over time ## Tools/Libraries - Qiskit IBMQ Provider - Cirq-Google - Amazon Braket SDK - Pandas - Matplotlib

Details

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

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