Agent Skills: Calibration Analyzer

Hardware calibration data analysis skill for optimal qubit selection

hardware-integrationID: a5c-ai/babysitter/calibration-analyzer

Install this agent skill to your local

pnpm dlx add-skill https://github.com/a5c-ai/babysitter/tree/HEAD/library/specializations/domains/science/quantum-computing/skills/calibration-analyzer

Skill Files

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library/specializations/domains/science/quantum-computing/skills/calibration-analyzer/SKILL.md

Skill Metadata

Name
calibration-analyzer
Description
Hardware calibration data analysis skill for optimal qubit selection

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