Randomized Benchmarking Experiments (qiskit_experiments.library.randomized_benchmarking)

Experiments

StandardRB(physical_qubits, lengths[, ...])	An experiment to characterize the error rate of a gate set on a device.
InterleavedRB(interleaved_element, ...[, ...])	An experiment to characterize the error rate of a specific gate on a device.
LayerFidelity(physical_qubits, ...[, ...])	A holistic benchmarking experiment to characterize the full quality of the devices at scale.
LayerFidelityUnitary(physical_qubits, ...[, ...])	A holistic benchmarking experiment to characterize the full quality of the devices at scale.

Analysis

RBAnalysis()	A class to analyze randomized benchmarking experiments.
InterleavedRBAnalysis()	A class to analyze interleaved randomized benchmarking experiment.
LayerFidelityAnalysis(layers[, analyses])	A class to analyze layer fidelity experiments.

Synthesis

RBDefaultCliffordSynthesis()

Default Clifford synthesis plugin for randomized benchmarking.

Utilities

RBUtils()	A collection of utility functions for computing additional data from randomized benchmarking experiments
CliffordUtils()	Utilities for generating one- and two-qubit Clifford circuits and elements.

Synthesis Methods

There are a few built-in options for the Clifford synthesis method:

• rb_default (default) for n<=2 Cliffords this methods will transpile using optimization_level=1. For 3 or more qubits the behavior is similar but a custom transpilation sequence is used to avoid the transpiler changing the layout of the circuit.

• clifford_synthesis_method='basis_only' will use optimization_level=0.

• clifford_synthesis_method='1Q_fixed will use a rz-sx-rz-sx-rz decomposition for the 1Q Cliffords and the default for the 2Q cliffords. This is most relevant for LayerFidelity experiments because it will keep a fixed structure.