peropq.optimizer
================

.. py:module:: peropq.optimizer


Attributes
----------

.. autoapisummary::

   peropq.optimizer.EMPTY_ARRAY


Classes
-------

.. autoapisummary::

   peropq.optimizer.Optimizer


Module Contents
---------------

.. py:data:: EMPTY_ARRAY

.. py:class:: Optimizer

   Class performing the optimizer.


   .. py:method:: optimize(variational_unitary, initial_guess = [])

      Perform the minimization.

      :param variational_unitary: ansatz used for optimization
      :param initial_guess: initial guess for the optimization. If not provided, use the parameters of the Trotterization instead
      :returns: the result of the optimization
      :returns: the perturbative 2-norm



   .. py:method:: optimize_arbitrary(variational_unitary, order, initial_guess = [], tol = 0, *, unconstrained = False, cache = False, init_variational_norm = None)

      Perform the minimization.

      :param variational_unitary: ansatz used for optimization
      :param initial_guess initial: guess for the optimization. If not provided, use the parameters of the Trotterization instead
      :returns: the result of the optimization
      :returns: the perturbative 2-norm



   .. py:method:: optimize_exact(exact_unitary, initial_guess = EMPTY_ARRAY, tol = 0)

      Optimize an instance of ExactUnitary.

      :param exact_unitary: to be optimized
      :param initial_guess: first guess to start the optimization
      :param tol: tolerance passed to the optimization function
      :returns: the optimization result form scipy.optimize.minimize