# Rb Benchmarker

> Randomized benchmarking skill for gate fidelity characterization

- Skill: `a5c-ai/rb-benchmarker` (Agent Skill)
- Install (CLI): `npx skillmds@latest add a5c-ai/rb-benchmarker`
- Raw SKILL.md: https://api.skillmd.com/api/skills/a5c-ai/rb-benchmarker/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: a5c-ai (https://skillmd.com/u/a5c-ai)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/a5c-ai/rb-benchmarker

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# 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