iqm.benchmarks.randomized_benchmarking.mirror_rb.mirror_rb

Mirror Randomized Benchmarking.

Functions

compute_polarizations(num_qubits, ...)	Estimates the polarization for a list of noisy counts with respect to corresponding ideal counts The polarization here is a rescaling of the average fidelity, that corrects for few-qubit effects
edge_grab(qubit_set, n_layers, backend_arg)	Generate a list of random layers containing single-qubit Cliffords and two-qubit gates, sampled according to the edge-grab algorithm (see arXiv:2204.07568 [quant-ph]).
generate_fixed_depth_mrb_circuits(qubits, ...)	Generates a dictionary MRB circuits at fixed depth, indexed by sample number
generate_pauli_dressed_mrb_circuits(qubits, ...)	Samples a mirror circuit and generates samples of "Pauli-dressed" circuits,
list_to_numcircuit_times_numpauli_matrix(...)	Convert a flat list to a matrix of shape (num_circ_samples, num_pauli_samples).
mrb_analysis(run)	Analysis function for a MRB experiment

Classes

MirrorRBConfiguration(*, benchmark, shots, ...)	Mirror RB configuration.
MirrorRandomizedBenchmarking(backend_arg, ...)	Mirror RB estimates the fidelity of ensembles of n-qubit layers

Inheritance