Randomized benchmarking skill for gate fidelity characterization
Scanned 9/2/2026
Install to Claude Code
npx -y skills add a5c-ai/babysitter --skill rb-benchmarker --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: rb-benchmarker
description: Randomized benchmarking skill for gate fidelity characterization
allowed-tools:
- Bash
- Read
- Write
- Edit
- Glob
- Grep
metadata:
specialization: quantum-computing
domain: science
category: error-management
phase: 6
graph:
domains: [domain:quantum-computing]
specializations: [specialization:quantum-computing]
skillAreas: [skill-area:statistical-analysis, skill-area:mathematical-reasoning, skill-area:physics-simulation]
workflows: [workflow:experiment-design]
roles: [role:research-engineer, role:research-scientist]
---
# 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
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