qpe_toolbox.circuit.circuits_opt
================================

.. py:module:: qpe_toolbox.circuit.circuits_opt


Functions
---------

.. autoapisummary::

   qpe_toolbox.circuit.circuits_opt.tn_fit


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

.. py:function:: tn_fit(tn, tn_target, tags='SU4SWAP', steps=100, tol=1e-08, contract_optimize='auto-hq', *, progbar=False)

   Fit tensor network `tn` to target tensor network `tn_target`.

   :param tn: The tensor network to be optimized (in-place).
   :type tn: TensorNetwork
   :param tn_target: The target tensor network (usually a state we want to approximate).
   :type tn_target: TensorNetwork
   :param tags: Tags selecting which tensors of `tn` to optimize. If None, all tensors are optimized.
   :type tags: str or list of str, optional
   :param steps: Number of sweeps.
   :type steps: int
   :param tol: Convergence tolerance on the change of the overlap.
   :type tol: float
   :param contract_optimize: Contraction strategy for the environments.
   :type contract_optimize: str
   :param progbar: Whether to show a progress bar.
   :type progbar: bool