Randomized benchmarking skill for gate fidelity characterization
--- 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--- 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
Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.