Source code for pennylane.templates.subroutines.select

# Copyright 2018-2023 Xanadu Quantum Technologies Inc.

# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at

#     http://www.apache.org/licenses/LICENSE-2.0

# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""
Contains the Select template.
"""
# pylint: disable=too-many-arguments

import copy
import itertools
import pennylane as qml
from pennylane.operation import Operation
from pennylane import math


[docs]class Select(Operation): r"""Applies specific input operations depending on the state of the designated control qubits. .. math:: Select|i\rangle \otimes |\psi\rangle = |i\rangle \otimes U_i |\psi\rangle .. figure:: ../../../doc/_static/templates/subroutines/select.png :align: center :width: 60% :target: javascript:void(0); Args: ops (list[Operator]): operations to apply control (Sequence[int]): the wires controlling which operation is applied id (str or None): String representing the operation (optional) .. note:: The position of the operation in the list determines which qubit state implements that operation. For example, when the qubit register is in the state :math:`|00\rangle`, we will apply ``ops[0]``. When the qubit register is in the state :math:`|10\rangle`, we will apply ``ops[2]``. To obtain the binary bitstring representing the state for list position ``index`` we can use the following relationship: ``index = int(state_string, 2)``. For example, ``2 = int('10', 2)``. **Example** >>> dev = qml.device('default.qubit', wires=4) >>> ops = [qml.X(2), qml.X(3), qml.Y(2), qml.SWAP([2,3])] >>> @qml.qnode(dev) >>> def circuit(): >>> qml.Select(ops, control=[0,1]) >>> return qml.state() ... >>> print(qml.draw(circuit, expansion_strategy='device')()) 0: ─╭○─╭○─╭●─╭●────┤ State 1: ─├○─├●─├○─├●────┤ State 2: ─╰X─│──╰Y─├SWAP─┤ State 3: ────╰X────╰SWAP─┤ State """ num_wires = qml.operation.AnyWires def _flatten(self): return (self.ops), (self.control) @classmethod def _unflatten(cls, data, metadata) -> "Select": return cls(data, metadata) def __repr__(self): return f"Select(ops={self.ops}, control={self.control})" def __init__(self, ops, control, id=None): control = qml.wires.Wires(control) self.hyperparameters["ops"] = tuple(ops) self.hyperparameters["control"] = control if 2 ** len(control) < len(ops): raise ValueError( f"Not enough control wires ({len(control)}) for the desired number of " + f"operations ({len(ops)}). At least {int(math.ceil(math.log2(len(ops))))} control " + "wires required." ) if any( control_wire in qml.wires.Wires.all_wires([op.wires for op in ops]) for control_wire in control ): raise ValueError("Control wires should be different from operation wires.") for op in ops: qml.QueuingManager.remove(op) target_wires = qml.wires.Wires.all_wires([op.wires for op in ops]) self.hyperparameters["target_wires"] = target_wires all_wires = target_wires + control super().__init__(*self.data, wires=all_wires, id=id)
[docs] def map_wires(self, wire_map: dict) -> "Select": new_ops = [o.map_wires(wire_map) for o in self.hyperparameters["ops"]] new_control = [wire_map.get(wire, wire) for wire in self.hyperparameters["control"]] return Select(new_ops, new_control)
def __copy__(self): """Copy this op""" cls = self.__class__ copied_op = cls.__new__(cls) new_data = copy.copy(self.data) for attr, value in vars(self).items(): if attr != "data": setattr(copied_op, attr, value) copied_op.data = new_data return copied_op @property def data(self): """Create data property""" return tuple(d for op in self.ops for d in op.data) @data.setter def data(self, new_data): """Set the data property""" for op in self.ops: op_num_params = op.num_params if op_num_params > 0: op.data = new_data[:op_num_params] new_data = new_data[op_num_params:]
[docs] def decomposition(self): r"""Representation of the operator as a product of other operators. .. math:: O = O_1 O_2 \dots O_n A ``DecompositionUndefinedError`` is raised if no representation by decomposition is defined. .. seealso:: :meth:`~.Operator.compute_decomposition`. Returns: list[Operator]: decomposition of the operator **Example** >>> ops = [qml.X(2), qml.X(3), qml.Y(2), qml.SWAP([2,3])] >>> op = qml.Select(ops, control=[0,1]) >>> op.decomposition() [MultiControlledX(wires=[0, 1, 2], control_values="00"), MultiControlledX(wires=[0, 1, 3], control_values="01"), Controlled(Y(2), control_wires=[0, 1], control_values=[True, False]), Controlled(SWAP(wires=[2, 3]), control_wires=[0, 1])] """ return self.compute_decomposition(self.ops, control=self.control)
[docs] @staticmethod def compute_decomposition( ops, control, ): # pylint: disable=arguments-differ, unused-argument r"""Representation of the operator as a product of other operators (static method). .. math:: O = O_1 O_2 \dots O_n. .. note:: Operations making up the decomposition should be queued within the ``compute_decomposition`` method. .. seealso:: :meth:`~.Operator.decomposition`. Args: ops (list[Operator]): operations to apply control (Sequence[int]): the wires controlling which operation is applied Returns: list[Operator]: decomposition of the operator **Example** >>> ops = [qml.X(2), qml.X(3), qml.Y(2), qml.SWAP([2,3])] >>> qml.Select.compute_decomposition(ops, control=[0,1]) [MultiControlledX(wires=[0, 1, 2], control_values="00"), MultiControlledX(wires=[0, 1, 3], control_values="01"), Controlled(Y(2), control_wires=[0, 1], control_values=[True, False]), Controlled(SWAP(wires=[2, 3]), control_wires=[0, 1])] """ states = list(itertools.product([0, 1], repeat=len(control))) decomp_ops = [ qml.ctrl(op, control, control_values=states[index]) for index, op in enumerate(ops) ] return decomp_ops
@property def ops(self): """Operations to be applied.""" return self.hyperparameters["ops"] @property def control(self): """The control wires.""" return self.hyperparameters["control"] @property def target_wires(self): """The wires of the input operators.""" return self.hyperparameters["target_wires"] @property def wires(self): """All wires involved in the operation.""" return self.hyperparameters["control"] + self.hyperparameters["target_wires"]