iqm.benchmarks.randomized_benchmarking

iqm.benchmarks.randomized_benchmarking#

Randomized Benchmarking reflects the fidelity of a gate or operation on a number of qubits

Subpackages and modules

clifford_rb

Clifford RB reflects the fidelity of Clifford gates

direct_rb

Direct RB estimates the layer fidelity of canonical gates

eplg

Error Per Layered Gate (EPLG) estimates the layer fidelity of 2Q gate layers.

interleaved_rb

Interleaved RB reflects the fidelity of a given gate

mirror_rb

Mirror RB estimates the average layer fidelity of ensembles of gates

multi_lmfit

Lmfit for multiple datasets, generalized and extended version of the shown example in the lmfit documentation: https://lmfit.github.io/lmfit-py/examples/example_fit_multi_datasets.html#sphx-glr-examples-example-fit-multi-datasets-py

randomized_benchmarking_common

Common functions for Randomized Benchmarking-based techniques