Source code for qcp.algorithms.phase_estimation_unitary_matrices
# Copyright 2022 Tiernan8r
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"""
Defines the enum that encodes the predefined Unitary matrices
"""
import cmath
import enum
from typing import Tuple
import qcp.constants as c
from qcp.matrices import DefaultMatrix, Matrix
[docs]class UnitaryMatrices(enum.Enum):
"""
Enum of all the available unitary matrices to use in the Phase
Estimation algorithm
"""
# TODO: Populate properly
HADAMARD = "hadamard"
PHASE_SHIFT = "phase_shift"
[docs] @classmethod
def list(cls):
"""
Return all the enum options' values
returns:
List[str]: All the strings the enums correspond to
"""
return list(map(lambda um: um.value, cls)) # type: ignore
[docs] def get(self, val1: float = 0.0, val2: float = 0.0) -> Matrix:
"""
Get the actual Unitary Matrix the enum corresponds to
:param float val: Optional value required when creating certain
matrix types
returns:
Matrix: The Unitary Matrix
"""
if self is UnitaryMatrices.HADAMARD:
return c.TWO_HADAMARD
elif self is UnitaryMatrices.PHASE_SHIFT:
phi1 = cmath.exp(2j * cmath.pi * val1)
phi2 = cmath.exp(2j * cmath.pi * val2)
return DefaultMatrix([[phi1, 0], [0, phi2]])
return None
[docs] def basis_names(self) -> Tuple[str, str]:
"""
Return the basis names used for the Unitary matrix choice
returns:
Tuple[str, str]: A two entry tuple of the 2 qbit
basis names.
"""
if self is UnitaryMatrices.HADAMARD:
return "|+>", "|->"
elif self is UnitaryMatrices.PHASE_SHIFT:
return "|0>", "|1>"
else:
return ()
[docs] def basis(self) -> Tuple[Matrix, Matrix]:
"""
Return the basis used for the Unitary matrix choice
returns:
Tuple[Matrix, Matrix]: A two entry tuple of the 2 qbit
basis.
"""
if self is UnitaryMatrices.HADAMARD:
return c.PLUS_VECTOR, c.MINUS_VECTOR
elif self is UnitaryMatrices.PHASE_SHIFT:
return c.ZERO_VECTOR, c.ONE_VECTOR
else:
return ()