---
name: rb-benchmarker-07a013da65bd
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


---
Source attribution: a5c-ai
Original project: https://github.com/a5c-ai/babysitter/blob/feb68abe397acc14f32b34984975c48fedba2b33/library/specializations/domains/science/quantum-computing/skills/rb-benchmarker/SKILL.md
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

# MIT License

Copyright (c) 2025 A5C AI

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Mega AI Hub resource metadata

Creator / publisher: a5c-ai
Original project: https://github.com/a5c-ai/babysitter/blob/feb68abe397acc14f32b34984975c48fedba2b33/library/specializations/domains/science/quantum-computing/skills/rb-benchmarker/SKILL.md
Attribution basis: Source repository record

Fields of work: Data & Analytics, Development & Engineering, Education & Research, Product Management
Roles: Data Scientist, ML / AI Engineer, Product Manager, Researcher, Technical Product Manager
Specialties: Specialty not specified
Tools: Cirq, Pygsti, Qiskit, Scipy, True Q
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: 46f42982f44a4a06d16092f2c447a86faa0c3df0c178ff34b7ff491ae124cdf9