Unitary

Table of Contents

• Application
  • Unitary matrix of QCircuit
• Obtain internal data
  • Get numpy.ndarray
• Equality comparison function

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Application

Unitary matrix of QCircuit

Obtain the unitary matrix of the quantum circuit QCircuit

Here is API doc

Python

 
from pyqpanda3.core import QCircuit,X,CP,CNOT
from pyqpanda3.quantum_info import Unitary
 
# Building QCircuit
cir = QCircuit()
cir << X(0)<<CP(2,1,5.28)<<CNOT(1,0)
# Obtain the unitary matrix of QCircuit
matrix = Unitary(cir)
# Print result
print(matrix)
 

Output

[[0.        +0.j         1.        +0.j         0.        +0.j
  0.        +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.        +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.        +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.        +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.        +0.j         1.        +0.j         0.        +0.j
  0.        +0.j         0.        +0.j        ]
 [0.        +0.j         0.        +0.j         0.        +0.j
  0.        +0.j         0.        +0.j         0.        +0.j
  0.53761923-0.84318774j 0.        +0.j        ]
 [0.        +0.j         0.        +0.j         0.        +0.j
  0.        +0.j         0.        +0.j         0.        +0.j
  0.        +0.j         0.53761923-0.84318774j]]

Obtain internal data

Get numpy.ndarray

Get internal data, the result is returned as a numpy.ndarray object

Here is API doc for Unitary.ndarray

Python

 
from pyqpanda3.quantum_info import Unitary
from pyqpanda3.core import QCircuit,X,CP,CNOT
def test_ndarray():
    cir = QCircuit()
    cir << X(0)<<CP(2,1,5.28)<<CNOT(1,0)
    U = Unitary(cir)
    print("U",U)
    arr = U.ndarray()
    print("arr:",arr)
 
if __name__ == "__main__":
    test_ndarray()
 

Output

U [[0.        +0.j         1.        +0.j         0.        +0.j
  0.        +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.        +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.        +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.        +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.        +0.j         1.        +0.j         0.        +0.j
  0.        +0.j         0.        +0.j        ]
 [0.        +0.j         0.        +0.j         0.        +0.j
  0.        +0.j         0.        +0.j         0.        +0.j
  0.53761923-0.84318774j 0.        +0.j        ]
 [0.        +0.j         0.        +0.j         0.        +0.j
  0.        +0.j         0.        +0.j         0.        +0.j
  0.        +0.j         0.53761923-0.84318774j]]
arr: [[0.        +0.j         1.        +0.j         0.        +0.j
  0.        +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.        +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.        +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.        +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.        +0.j         1.        +0.j         0.        +0.j
  0.        +0.j         0.        +0.j        ]
 [0.        +0.j         0.        +0.j         0.        +0.j
  0.        +0.j         0.        +0.j         0.        +0.j
  0.53761923-0.84318774j 0.        +0.j        ]
 [0.        +0.j         0.        +0.j         0.        +0.j
  0.        +0.j         0.        +0.j         0.        +0.j
  0.        +0.j         0.53761923-0.84318774j]]

Equality comparison function

Determine whether the internal data of two Unitary objects are equal

Here is API doc

Python

 
from pyqpanda3.quantum_info import Unitary
from pyqpanda3.core import QCircuit,X,CP,CNOT
def test_eq():
    cir = QCircuit()
    cir << X(0)<<CP(2,1,5.28)<<CNOT(1,0)
    U = Unitary(cir)
    U2 = U
    print("U2==U:",U2==U)
    return U2==U
 
if __name__ == "__main__":
    test_eq()
 

Output

U2==U: True