iqm.benchmarks.randomized_benchmarking.clifford_rb.clifford_rb.CliffordRandomizedBenchmarking

iqm.benchmarks.randomized_benchmarking.clifford_rb.clifford_rb.CliffordRandomizedBenchmarking#

class iqm.benchmarks.randomized_benchmarking.clifford_rb.clifford_rb.CliffordRandomizedBenchmarking(backend_arg: IQMBackendBase | str, configuration: CliffordRBConfiguration)#

Bases: Benchmark

Clifford RB estimates the average gate fidelity of the n-qubit Clifford group.

Attributes

Methods

add_all_circuits_to_dataset(dataset)

Adds all generated circuits during execution to the dataset variable.

add_all_metadata_to_dataset(dataset)

Adds all configuration metadata and circuits to the dataset variable.

analysis_function(run)

Analysis function for a Clifford RB experiment.

execute(backend)

Executes the benchmark.

name()

Returns the name of the benchmark.
Parameters:
static analysis_function(run: BenchmarkRunResult) → BenchmarkAnalysisResult#

Analysis function for a Clifford RB experiment.

Parameters:

run (BenchmarkRunResult) – A Clifford RB experiment run for which analysis result is created

Returns:

AnalysisResult corresponding to Clifford RB

Return type:

BenchmarkAnalysisResult

classmethod name() → str#

Returns the name of the benchmark.

Return type:

str

add_all_metadata_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

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