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rb-benchmarker

Testing & Quality
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Randomized benchmarking skill for gate fidelity characterization

QUICK START

How to use this skill

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  1. Open your project in Codex.
  2. Copy the prompt below and paste it into your agent.
  3. Review the proposed files and risks before you approve installation.
Prompt to paste
I want to install this Agent Skill for this project in Codex.

Source SKILL.md: https://github.com/a5c-ai/babysitter/blob/HEAD/library/specializations/domains/science/quantum-computing/skills/rb-benchmarker/SKILL.md

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First, summarize what it does, its dependencies, license status if identifiable, and any risks. Show the exact files you propose to add under .agents/skills/rb-benchmarker/. Do not write files or run scripts until I approve.

After I approve, install the complete skill folder, including required referenced files, into that project location. Verify it is discoverable, then tell me its actual invocation name and how to use it. Do not claim it is installed until you have verified it.

Copying this prompt does not install or run the skill. Review third-party files before use. Codex skill guide

RB Benchmarker

Purpose

Provides expert guidance on randomized benchmarking protocols for characterizing quantum gate fidelities and hardware performance.

Capabilities

  • Standard randomized benchmarking
  • Interleaved randomized benchmarking
  • Simultaneous RB for crosstalk
  • Character benchmarking
  • Cycle benchmarking
  • Fidelity decay fitting
  • SPAM error separation
  • Confidence interval estimation

Usage Guidelines

  1. Protocol Selection: Choose RB variant based on characterization goals
  2. Sequence Generation: Create random Clifford sequences of varying lengths
  3. Execution: Run benchmarking experiments with sufficient statistics
  4. Fitting: Analyze decay curves to extract fidelity parameters
  5. Reporting: Generate comprehensive benchmarking reports

Tools/Libraries

  • Qiskit Experiments
  • Cirq
  • True-Q
  • PyGSTi
  • SciPy