Source code for qiskit.circuit.library.overlap
# This code is part of Qiskit.
#
# (C) Copyright IBM 2023.
#
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
#
# Any modifications or derivative works of this code must retain this
# copyright notice, and modified files need to carry a notice indicating
# that they have been altered from the originals.
"""Unitary overlap circuit."""
from qiskit.circuit import QuantumCircuit, Gate
from qiskit.circuit.parametervector import ParameterVector
from qiskit.circuit.exceptions import CircuitError
from qiskit.circuit import Barrier
[docs]class UnitaryOverlap(QuantumCircuit):
r"""Circuit that returns the overlap between two unitaries :math:`U_2^{\dag} U_1`.
The input quantum circuits must represent unitary operations, since they must be invertible.
If the inputs will have parameters, they are replaced by :class:`.ParameterVector`\s with
names `"p1"` (for circuit ``unitary1``) and `"p2"` (for circuit ``unitary_2``) in the output
circuit.
This circuit is usually employed in computing the fidelity::
.. math::
\left|\langle 0| U_2^{\dag} U_1|0\rangle\right|^{2}
by computing the probability of being in the all-zeros bit-string, or equivalently,
the expectation value of projector :math:`|0\rangle\langle 0|`.
Example::
import numpy as np
from qiskit.circuit.library import EfficientSU2, UnitaryOverlap
from qiskit.primitives import Sampler
# get two circuit to prepare states of which we comput the overlap
circuit = EfficientSU2(2, reps=1)
unitary1 = circuit.assign_parameters(np.random.random(circuit.num_parameters))
unitary2 = circuit.assign_parameters(np.random.random(circuit.num_parameters))
# create the overlap circuit
overlap = UnitaryOverap(unitary1, unitary2)
# sample from the overlap
sampler = Sampler(options={"shots": 100})
result = sampler.run(overlap).result()
# the fidelity is the probability to measure 0
fidelity = result.quasi_dists[0].get(0, 0)
"""
def __init__(
self, unitary1: QuantumCircuit, unitary2: QuantumCircuit, prefix1="p1", prefix2="p2"
):
"""
Args:
unitary1: Unitary acting on the ket vector.
unitary2: Unitary whose inverse operates on the bra vector.
prefix1: The name of the parameter vector associated to ``unitary1``,
if it is parameterized. Defaults to ``"p1"``.
prefix2: The name of the parameter vector associated to ``unitary2``,
if it is parameterized. Defaults to ``"p2"``.
Raises:
CircuitError: Number of qubits in ``unitary1`` and ``unitary2`` does not match.
CircuitError: Inputs contain measurements and/or resets.
"""
# check inputs are valid
if unitary1.num_qubits != unitary2.num_qubits:
raise CircuitError(
f"Number of qubits in unitaries does "
f"not match: {unitary1.num_qubits} != {unitary2.num_qubits}."
)
unitaries = [unitary1, unitary2]
for unitary in unitaries:
_check_unitary(unitary)
# Vectors of new parameters, if any. Need the unitaries in a list here to ensure
# we can overwrite them.
for i, prefix in enumerate([prefix1, prefix2]):
if unitaries[i].num_parameters > 0:
new_params = ParameterVector(prefix, unitaries[i].num_parameters)
unitaries[i] = unitaries[i].assign_parameters(new_params)
# Generate the actual overlap circuit
super().__init__(unitaries[0].num_qubits, name="UnitaryOverlap")
self.compose(unitaries[0], inplace=True)
self.compose(unitaries[1].inverse(), inplace=True)
def _check_unitary(circuit):
"""Check a circuit is unitary by checking if all operations are of type ``Gate``."""
for instruction in circuit.data:
if not isinstance(instruction.operation, (Gate, Barrier)):
raise CircuitError(
(
"One or more instructions cannot be converted to"
' a gate. "{}" is not a gate instruction'
).format(instruction.operation.name)
)