pygsti.algorithms.fiducialselection.create_meas_mxs

pygsti.algorithms.fiducialselection.create_meas_mxs#

create_meas_mxs(model, meas_fid_list, meas_cache=None)#

Make a list of matrices for the model measurement operations.

Makes a list of matrices, where each matrix corresponds to a single measurement effect in the model, and the column of each matrix is the transpose of the measurement effect acting on a fiducial.

Parameters:

  • model (Model) – The model (associates operation matrices with operation labels).

  • meas_fid_list (list of Circuits) – List of fiducial circuits for constructing an informationally complete measurement.

  • meas_cache (dictionary of effective measurement effects) – Dictionary of effective measurement effects cache used to accelerate the generation of the matrices used for score function evaluation. Entries are columns of the transpose of the effects. Default value is None.

Returns:

A list of matrices, each of shape (dim, len(meas_fid_list)) where dim is the dimension of model (4 for a single qubit). The length of this list is equal to the number of POVM effects in model.

Return type:

list