:py:mod:`kosmos.ml.models.vqc.circuit`
======================================

.. py:module:: kosmos.ml.models.vqc.circuit







Classes
-------

.. py:class:: ParameterizedCircuit(encoding: kosmos.ml.models.vqc.encoding.VQCEncoding, num_layers: int, *, data_reuploading: bool)


   Parameterized quantum circuit using PennyLane with statevector simulation.

   Initialize the circuit.

   :param encoding: The VQC encoding.
   :type encoding: VQCEncoding
   :param num_layers: The number of variational layers.
   :type num_layers: int
   :param data_reuploading: Whether to use data re-uploading.
   :type data_reuploading: bool





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   .. rubric:: Methods

   .. py:method:: expect_z(weights: torch.Tensor, x: torch.Tensor) -> torch.Tensor

      Execute the circuit and calculate Z expectation values.

      :param weights: Weights tensor.
      :type weights: torch.Tensor
      :param x: Input tensor.
      :type x: torch.Tensor

      :returns: Z expectation values.
      :rtype: torch.Tensor