ReddRadar
Agent skill
calibration-analyzer
Hardware calibration data analysis skill for optimal qubit selection
Install this agent skill to your Project
npx add-skill https://github.com/a5c-ai/babysitter/tree/main/library/specializations/domains/science/quantum-computing/skills/calibration-analyzer
Metadata
Additional technical details for this skill
- phase
- 6
- domain
- science
- category
- hardware-integration
- specialization
- quantum-computing
SKILL.md
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
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