gates.YY

class zyglrox.core.gates.YY(wires: List[int], value: List[float] = None, conjugate=False, name=None, **kwargs)

Gate that implements a conditional rotation Ising YY spin interaction.

\[\text{YY}(\theta) = \exp(-i\theta\sigma^y \otimes \sigma_y/2) = \cos(\theta/2) \: I + i \sin(-\theta/2) \sigma^y \otimes \sigma_y\]

The Gate class performs unitary quantum gates on the tensor subspace of a wave function

Args:

nparams (int):

Number of parameters of gate.

wires (list):

List of numbers on which the gate is acting.

value (None of ndarray):

Intial value of parameterized gate in 1D numpy array. When combined with setting trainable=False, this will create a static gate that cannot be altered during any optimization.

name (str):

Name of the gate.

Keyword Arguments

trainable (bool):

Boolean that indicates whether the paramaters of this gate are trainable.

Returns (inplace):

None

build(input_shape)

Called once from __call__, when we know the shapes of inputs and dtype. Should initialize the trainable variables, and call the super’s build().

Args:

input_shape (list):

Input shapes of the incoming tensor.

call(inputs: tensorflow.python.framework.ops.Tensor, **kwargs) → tensorflow.python.framework.ops.Tensor

Gate Logic