Hardware calibration data analysis skill for optimal qubit selection
Scanned 9/2/2026
Install to Claude Code
npx -y skills add a5c-ai/babysitter --skill calibration-analyzer --agent claude-codeInstalls into .claude/skills of the current project.
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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]
---
# 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
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