Agent Skills: RB Benchmarker

Randomized benchmarking skill for gate fidelity characterization

error-managementID: a5c-ai/babysitter/rb-benchmarker

Install this agent skill to your local

pnpm dlx add-skill https://github.com/a5c-ai/babysitter/tree/HEAD/plugins/babysitter/skills/babysit/process/specializations/domains/science/quantum-computing/skills/rb-benchmarker

Skill Files

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plugins/babysitter/skills/babysit/process/specializations/domains/science/quantum-computing/skills/rb-benchmarker/SKILL.md

Skill Metadata

Name
rb-benchmarker
Description
Randomized benchmarking skill for gate fidelity characterization

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