pygsti.tools.optools.bulk_create_elementary_errorgen_nqudit_dual

pygsti.tools.optools.bulk_create_elementary_errorgen_nqudit_dual#

bulk_create_elementary_errorgen_nqudit_dual(typ, basis_element_labels, basis_1q, normalize=False, sparse=False, tensorprod_basis=False)#

Construct the dual elementary error generator matrices, either in a dense or sparse representation, corresponding to the specified types and list of basis element subscripts.

Parameters:

  • typ (list of str) – List of strings specifying the types of dual error generators to be constructed. Entries can be ‘H’, ‘S’, ‘C’ or ‘A’.

  • basis_element_labels (list of lists or tuples of str) – A list containing sublists or subtuple of strings corresponding to the basis element labels subscripting the desired dual elementary error generators. For each sublist, if the corresponding entry of typ is ‘H’ or ‘S’ this should be length-1, and for ‘C’ and ‘A’ length-2.

  • basis_1q (Basis) – A one-qubit Basis object used in the construction of the dual elementary error generators.

  • normalize (bool, optional (default False)) – If True the dual elementary error generators are normalized to have unit Frobenius norm.

  • sparse (bool, optional (default False)) – If True the dual elementary error generators are returned as a sparse array.

  • tensorprod_basis (bool, optional (default False)) – If True, the returned arrays are given in a basis consisting of the appropriate tensor product of single-qubit standard bases, as opposed to the N=2^n dimensional standard basis (the values are the same but this may result in some reordering of entries).

Return type:

list of np.ndarray or Scipy CSR matrix