matrices.gen_pauli ================== .. py:module:: matrices.gen_pauli .. autoapi-nested-parse:: Produces the generalized Pauli operator matrices. Functions --------- .. autoapisummary:: matrices.gen_pauli.gen_pauli Module Contents --------------- .. py:function:: gen_pauli(k_1, k_2, dim) Produce generalized Pauli operator :cite:`WikiPauliGen`. Generates a :code:`dim`-by-:code:`dim` unitary operator. More specifically, it is the operator :math:`X^k_1 Z^k_2`, where :math:`X` and :math:`Z` are the "gen_pauli_x" and "gen_pauli_z" operators that naturally generalize the Pauli X and Z operators. These matrices span the entire space of :code:`dim`-by-:code:`dim` matrices as :code:`k_1` and :code:`k_2` range from 0 to :code:`dim-1`, inclusive. Note that the generalized Pauli operators are also known by the name of "discrete Weyl operators". (Lecture 6: Further Remarks On Measurements And Channels from :cite:`Watrous_2011_Lecture_Notes`) .. rubric:: Examples The generalized Pauli operator for :code:`k_1 = 1`, :code:`k_2 = 0`, and :code:`dim = 2` is given as the standard Pauli-X matrix .. math:: G_{1, 0, 2} = \begin{pmatrix} 0 & 1 \\ 1 & 0 \end{pmatrix}. This can be obtained in :code:`|toqito⟩` as follows. .. jupyter-execute:: from toqito.matrices import gen_pauli gen_pauli(k_1=1, k_2=0, dim=2) The generalized Pauli matrix :code:`k_1 = 1`, :code:`k_2 = 1`, and :code:`dim = 2` is given as the standard Pauli-Y matrix .. math:: G_{1, 1, 2} = \begin{pmatrix} 0 & -1 \\ 1 & 0 \end{pmatrix}. This can be obtained in :code:`|toqito⟩` as follows. .. jupyter-execute:: from toqito.matrices import gen_pauli gen_pauli(k_1=1, k_2=1, dim=2) .. rubric:: References .. bibliography:: :filter: docname in docnames :param k_1: (a non-negative integer from 0 to :code:`dim-1` inclusive). :param k_2: (a non-negative integer from 0 to :code:`dim-1` inclusive). :param dim: (a positive integer indicating the dimension). :return: A generalized Pauli operator.