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Calibration analyzer

Skill a5c-ai/babysitter/library/specializations/domains/science/quantum-computing/skills/calibration-analyzer

Hardware calibration data analysis skill for optimal qubit selectionFrom its SKILL.md

Install
npx -y skills add a5c-ai/babysitter --skill calibration-analyzer

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

SKILL.md

1.4 KB, 192 tokens by cl100k_base, as published. Nobody here has run it

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

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

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