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

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.
analysis_function(run)	Analysis function for an Interleaved RB experiment.
execute(backend)	Executes the benchmark.
name()	Returns the name of the benchmark.

Parameters:

• backend_arg (IQMBackendBase | str)

• configuration (InterleavedRBConfiguration)

static analysis_function(run: BenchmarkRunResult) → BenchmarkAnalysisResult

Analysis function for an Interleaved RB experiment.

Parameters:

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

Returns:

AnalysisResult corresponding to Interleaved RB

Return type:

BenchmarkAnalysisResult

classmethod name() → str

Returns the name of the benchmark.

Return type:

str

add_all_meta_to_dataset(dataset: Dataset) → None

Adds all configuration metadata and circuits to the dataset variable.

Parameters:

dataset (Dataset) – The xarray dataset

Return type:

None

add_all_circuits_to_dataset(dataset: Dataset) → None

Adds all generated circuits during execution to the dataset variable.

Parameters:

dataset (Dataset) – The xarray dataset

Return type:

None

execute(backend: IQMBackendBase) → Dataset

Executes the benchmark.

Parameters:

backend (IQMBackendBase)

Return type:

Dataset