iqm.benchmarks.entanglement.graph_states.state_tomography_analysis#

iqm.benchmarks.entanglement.graph_states.state_tomography_analysis(dataset: Dataset, all_qubit_pairs_per_group: Dict[int, List[Tuple[int, int]]], all_qubit_neighbors_per_group: Dict[int, List[List[int]]], all_unprojected_qubits: Dict[int, List[int]], backend_name: str, execution_timestamp: str) → Tuple[Dict[str, Any], List[BenchmarkObservation], Dict[str, Dict[str, str | float]], Dataset]#

Performs state tomography analysis on the given dataset.

Parameters:

• dataset (xr.Dataset) – The dataset containing the experimental data.

• all_qubit_pairs_per_group (Dict[int, List[Tuple[int, int]]]) – Dictionary mapping group indices to lists of qubit pairs.

• all_qubit_neighbors_per_group (Dict[int, List[List[int]]]) – Dictionary mapping group indices to lists of neighbor qubit groups.

• all_unprojected_qubits (Dict[int, List[int]]) – Dictionary mapping group indices to lists of unprojected qubits.

• backend_name (str) – The name of the backend used for the experiment.

• execution_timestamp (str) – The timestamp of the experiment execution.

Returns:

A tuple containing:

• A dictionary of plots.

• A list of benchmark observations.

• A dictionary of maximum negativities.

• The updated dataset.

Return type:

Tuple[Dict[str, Any], List[BenchmarkObservation], Dict[str, Dict[str, float]], xr.Dataset]