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

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
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:

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

add_all_meta_to_dataset(dataset: Dataset)#

Adds all configuration metadata and circuits to the dataset variable

Parameters:

dataset (xr.Dataset) – The xarray 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:

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) → Dataset#

Executes the benchmark.

Return type:

Dataset