CY#
- class torchquantum.operator.CY(has_params: bool = False, trainable: bool = False, init_params=None, n_wires=None, wires=None, inverse=False)[source]#
Bases:
Operation
Class for CY Gate.
- __init__(has_params: bool = False, trainable: bool = False, init_params=None, n_wires=None, wires=None, inverse=False)#
_summary_
- Parameters:
has_params (bool, optional) – Whether the operations has parameters. Defaults to False.
trainable (bool, optional) – Whether the parameters are trainable (if contains parameters). Defaults to False.
init_params (torch.Tensor, optional) – Initial parameters. Defaults to None.
n_wires (int, optional) – Number of qubits. Defaults to None.
wires (Union[int, List[int]], optional) – Which qubit the operation is applied to. Defaults to None.
Methods
- static func(q_device, wires, params=None, n_wires=None, static=False, parent_graph=None, inverse=False, comp_method='bmm')#
Perform the cy gate.
- Parameters:
q_device (tq.QuantumDevice) – The QuantumDevice.
wires (Union[List[int], int]) – Which qubit(s) to apply the gate.
params (torch.Tensor, optional) – Parameters (if any) of the gate. Default to None.
n_wires (int, optional) – Number of qubits the gate is applied to. Default to None.
static (bool, optional) – Whether use static mode computation. Default to False.
parent_graph (tq.QuantumGraph, optional) – Parent QuantumGraph of current operation. Default to None.
inverse (bool, optional) – Whether inverse the gate. Default to False.
comp_method (bool, optional) – Use ‘bmm’ or ‘einsum’ method to perform
'bmm'. (matrix vector multiplication. Default to) –
- Returns:
None.
Attributes
- matrix = tensor([[1.+0.j, 0.+0.j, 0.+0.j, 0.+0.j], [0.+0.j, 1.+0.j, 0.+0.j, 0.+0.j], [0.+0.j, 0.+0.j, 0.+0.j, -0.-1.j], [0.+0.j, 0.+0.j, 0.+1.j, 0.+0.j]])#
- num_params = 0#
- num_wires = 2#
- op_name = 'cy'#