iqm.benchmarks.randomized_benchmarking.interleaved_rb.interleaved_rb.InterleavedRandomizedBenchmarking

class iqm.benchmarks.randomized_benchmarking.interleaved_rb.interleaved_rb.InterleavedRandomizedBenchmarking(backend_arg: IQMBackendBase | str, configuration: InterleavedRBConfiguration)

Bases: Benchmark

Interleaved RB estimates the average gate fidelity of a specific Clifford gate

Attributes

name

Methods

add_all_circuits_to_dataset(dataset)	Adds all generated circuits during execution to the dataset variable
add_all_meta_to_dataset(dataset)	Adds all configuration metadata and circuits to the dataset variable :param dataset: The xarray dataset :type dataset: xr.Dataset
analysis_function(run)	Analysis function for an Interleaved RB experiment
execute(backend)	Executes the benchmark

Parameters:

• backend_arg (IQMBackendBase | str) –

• configuration (InterleavedRBConfiguration) –

static analysis_function(run: BenchmarkRunResult) → BenchmarkAnalysisResult

Analysis function for an Interleaved RB experiment

Parameters:

run (RunResult) – An interleaved RB experiment run for which analysis result is created

Returns:

AnalysisResult corresponding to Interleaved RB

Return type:

BenchmarkAnalysisResult

add_all_meta_to_dataset(dataset: Dataset)

Adds all configuration metadata and circuits to the dataset variable :param dataset: The xarray dataset :type dataset: xr.Dataset

Parameters:

dataset (Dataset) –

add_all_circuits_to_dataset(dataset: Dataset)

Adds all generated circuits during execution to the dataset variable

Parameters:

dataset (xr.Dataset) – The xarray dataset

Returns:

execute(backend: IQMBackendBase) → Dataset

Executes the benchmark

Parameters:

backend (IQMBackendBase) –

Return type:

Dataset