We provide API methods for the following protocols:

  1. Streamlined Randomized Benchmarking (SRB)

    Estimates the average gate fidelity over the Clifford group acting on a subset of qubits.

  2. Interleaved Randomized Benchmarking (IRB)

    Enhances SRB by estimating the average gate fidelity of specific gates, including error analysis that accounts for systematic effects.

  3. Extended Randomized Benchmarking (XRB)

    Enables users to distinguish systematic (coherent) errors from stochastic errors (such as decoherence, dephasing, and rapid fluctuations in control frequencies) in combination with SRB.

  4. Cycle Benchmarking (CB)

    A more practical alternative to SRB for multi-qubit systems that uses simpler randomizing gates, accommodates non-Clifford interleaved gates, and provides more fine-grained information about the noise.

  5. K-body Noise Reconstruction (KNR)

    Systematically and efficiently reconstructs the action of the global error distribution on subsets of qubits.

  6. Stochastic Calibration (SC)

    A protocol similar to cycle benchmarking, which allows users to diagnose how errors affect specific components of density operators.

  7. Readout Calibration (RCAL)

    Diagnose state-dependent readout errors. The results are also used to correct readout errors for other diagnostic tools.

Composite protocols leverage more basic diagnostic protocols to provide higher-level assessments of quantum hardware performance. True-Q™ currently contains two composite protocols:

  1. Crosstalk Diagnostics (CTD)

    Measures the discrepancy between gate quality while applying gates simultaneously versus while applying gates in an isolated way to each individual subsystem.

  2. Quantum Capacity (QCAP)

    Provides a bound on the performance of a circuit performed under RC.