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name: calibration-analyzer description: Hardware calibration data analysis skill for optimal qubit selection allowed-tools:

• Bash
• Read
• Write
• Edit
• Glob
• Grep metadata: specialization: quantum-computing domain: science category: hardware-integration phase: 6 graph: domains: [domain:quantum-computing] specializations: [specialization:quantum-computing] skillAreas: [skill-area:statistical-analysis, skill-area:sensor-fusion, skill-area:mathematical-reasoning] workflows: [workflow:experiment-design] roles: [role:research-engineer, role:lab-technician]

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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