calibration-analyzer
// Hardware calibration data analysis skill for optimal qubit selection
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updated:March 4, 2026
SKILL.mdreadonly
SKILL.md Frontmatter
namecalibration-analyzer
descriptionHardware calibration data analysis skill for optimal qubit selection
allowed-toolsBash,Read,Write,Edit,Glob,Grep
metadata[object Object]
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
- Data Retrieval: Fetch latest calibration data from backend
- Metric Extraction: Parse T1, T2, gate fidelities, and readout errors
- Quality Ranking: Score qubits based on weighted metrics
- Selection: Choose optimal qubits for circuit execution
- Monitoring: Track calibration changes over time
Tools/Libraries
- Qiskit IBMQ Provider
- Cirq-Google
- Amazon Braket SDK
- Pandas
- Matplotlib