iqm.benchmarks.compressive_gst.gst_analysis.run_mgst_wrapper#

iqm.benchmarks.compressive_gst.gst_analysis.run_mgst_wrapper(dataset: Dataset, y: ndarray) → tuple[ndarray, ndarray, ndarray, ndarray, ndarray, ndarray, ndarray, ndarray]#

Wrapper function for mGST algorithm execution which prepares an initialization and sets the alg. parameters.

Parameters:

dataset (Dataset) – A dataset containing counts from the experiment and configurations
y (ndarray) – The circuit outcome probabilities as a num_povm x num_circuits array

Returns:

Kraus estimate array where each subarray along the first axis contains a set of Kraus operators.: The second axis enumerates Kraus operators for a gate specified by the first axis.
X:: Superoperator estimate array where reconstructed CPT superoperators in standard basis are stacked along the first axis.
E:: Current POVM estimate
rho:: Current initial state estimate
K_target:: Target gate Kraus array where each subarray along the first axis contains a set of Kraus operators. The second axis enumerates Kraus operators for a gate specified by the first axis.
X_target:: Target gate superoperator estimate array where reconstructed CPT superoperators in standard basis are stacked along the first axis.
E_target:: Target POVM
rho_target:: Target initial state

Return type:

iqm.benchmarks.compressive_gst.gst_analysis.run_mgst_wrapper