Source code for torchquantum.operator.standard_gates.t
from ..op_types import DiagonalOperation, Operation
from abc import ABCMeta
from torchquantum.macro import C_DTYPE
import torchquantum as tq
import torch
from torchquantum.functional import mat_dict
import torchquantum.functional as tqf
[docs]class T(DiagonalOperation, metaclass=ABCMeta):
"""Class for T Gate."""
num_params = 0
num_wires = 1
op_name = "t"
eigvals = torch.tensor([1, 1j], dtype=C_DTYPE)
matrix = mat_dict["t"]
func = staticmethod(tqf.t)
@classmethod
def _matrix(cls, params):
return cls.matrix
@classmethod
def _eigvals(cls, params):
return cls.eigvals
class TDG(Operation, metaclass=ABCMeta):
"""Class for TDG Gate."""
num_params = 0
num_wires = 1
op_name = "tdg"
matrix = mat_dict["tdg"]
func = staticmethod(tqf.tdg)
@classmethod
def _matrix(cls, params):
return cls.matrix