calibration-analyzer

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"]}

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