a5c-ai/rb-benchmarker
library/specializations/domains/science/quantum-computing/skills/rb-benchmarker/SKILL.md
Randomized benchmarking skill for gate fidelity characterization
$ install --global
skillsauthnpx skillsauth add a5c-ai/babysitter rb-benchmarkerInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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TrivyContainer and dependency vulnerability scanner
95%
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SemgrepStatic code analysis for vulnerabilities
95%
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mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
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Socket.devSupply chain security analysis
50%
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VirusTotalMulti-engine malware detection
50%
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CrowdStrikeAdvanced threat intelligence
50%
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OSV-ScannerOpen Source Vulnerability database check
50%
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OWASP Dep-Check
50%
Last scanned: Apr 2, 2026, 8:44 AM62.9s1 file scanned
SKILL.md
- name:
- rb-benchmarker
- description:
- Randomized benchmarking skill for gate fidelity characterization
- specialization:
- quantum-computing
- domain:
- science
- category:
- error-management
- phase:
- 6
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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