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claude-codescience

Babysitter calibration-analyzer

Hardware calibration data analysis skill for optimal qubit selection

install
source · Clone the upstream repo
git clone https://github.com/a5c-ai/babysitter
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/a5c-ai/babysitter "$T" && mkdir -p ~/.claude/skills && cp -r "$T/library/specializations/domains/science/quantum-computing/skills/calibration-analyzer" ~/.claude/skills/a5c-ai-babysitter-calibration-analyzer && rm -rf "$T"
manifest: library/specializations/domains/science/quantum-computing/skills/calibration-analyzer/SKILL.md
tags
#quantum-analysis#qubit-selection#calibration-tracking#error-metrics#hardware-integration
source content

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