ReddRadar
Agent skill
rb-benchmarker
Randomized benchmarking skill for gate fidelity characterization
Install this agent skill to your Project
npx add-skill https://github.com/a5c-ai/babysitter/tree/main/library/specializations/domains/science/quantum-computing/skills/rb-benchmarker
Metadata
Additional technical details for this skill
- phase
- 6
- domain
- science
- category
- error-management
- specialization
- quantum-computing
SKILL.md
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
- Protocol Selection: Choose RB variant based on characterization goals
- Sequence Generation: Create random Clifford sequences of varying lengths
- Execution: Run benchmarking experiments with sufficient statistics
- Fitting: Analyze decay curves to extract fidelity parameters
- Reporting: Generate comprehensive benchmarking reports
Tools/Libraries
- Qiskit Experiments
- Cirq
- True-Q
- PyGSTi
- SciPy
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