rb-benchmarker
SolidRandomized benchmarking skill for gate fidelity characterization
AI & Automation 1,160 stars
71 forks Updated today MIT
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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
Details
- Author
- a5c-ai
- Repository
- a5c-ai/babysitter
- Created
- 4 months ago
- Last Updated
- today
- Language
- JavaScript
- License
- MIT
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