iqm.benchmarks.entanglement.graph_states.GraphStateBenchmark

class iqm.benchmarks.entanglement.graph_states.GraphStateBenchmark(backend_arg: IQMBackendBase, configuration: GraphStateConfiguration)

Bases: Benchmark

The Graph States benchmark estimates the bipartite entangelement negativity of native graph states.

Attributes

Methods

add_all_meta_to_dataset(dataset)	Adds all configuration metadata and circuits to the dataset variable.
analysis_function(run)	Analysis function for a Graph State benchmark experiment.
execute(backend)	Executes the benchmark.
generate_all_circuit_info_for_graph_state_benchmark()	Generates all circuits and associated information for the Graph State benchmark.
name()	Returns the name of the benchmark.

Parameters:

• backend_arg (IQMBackendBase)

• configuration (GraphStateConfiguration)

static analysis_function(run: BenchmarkRunResult) → BenchmarkAnalysisResult

Analysis function for a Graph State benchmark experiment.

Parameters:

run (BenchmarkRunResult)

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

generate_all_circuit_info_for_graph_state_benchmark() → dict[str, Any]

Generates all circuits and associated information for the Graph State benchmark.

• Generates native graph states

• Identifies all pairs of qubits with disjoint neighbors

• Generates all projected nodes to cover all pairs of qubits with disjoint neighbors

Returns:

A dictionary containing all circuit information for the Graph State benchmark.

Return type:

dict[str, Any]

execute(backend: IQMBackend | IQMFacadeBackend | str) → Dataset

Executes the benchmark.

Parameters:

backend (IQMBackend | IQMFacadeBackend | str)

Return type:

Dataset