Source code for pennylane.transforms.optimization.undo_swaps
# Copyright 2018-2021 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.
"""Transform that eliminates the swap operators by reordering the wires."""
from pennylane.tape import QuantumScript, QuantumScriptBatch
from pennylane.transforms import transform
from pennylane.typing import PostprocessingFn
def null_postprocessing(results):
"""A postprocessing function returned by a transform that only converts the batch of results
into a result for a single ``QuantumTape``.
"""
return results[0]
[docs]
@transform
def undo_swaps(tape: QuantumScript) -> tuple[QuantumScriptBatch, PostprocessingFn]:
"""Quantum function transform to remove SWAP gates by running from right to left through the
circuit changing the position of the qubits accordingly.
Args:
tape (QNode or QuantumTape or Callable): A quantum circuit (QNode or quantum function).
Returns:
qnode (QNode) or quantum function (Callable) or tuple[List[QuantumTape], function]: The transformed circuit as described in :func:`qp.transform <pennylane.transform>`.
**Example**
You can apply the transform directly on a :class:`QNode`.
.. code-block:: python
import pennylane as qp
dev = qp.device('default.qubit', wires=3)
@qp.transforms.undo_swaps
@qp.qnode(device=dev)
def circuit():
qp.Hadamard(wires=0)
qp.X(1)
qp.SWAP(wires=[0,1])
qp.SWAP(wires=[0,2])
qp.Y(0)
return qp.expval(qp.Z(0))
>>> print(qp.draw(circuit)())
0: ──Y─┤ <Z>
1: ──H─┤
2: ──X─┤
The SWAP gates are removed before execution.
.. details::
:title: Usage Details
Consider the following quantum function:
.. code-block:: python
def qfunc():
qp.Hadamard(wires=0)
qp.X(1)
qp.SWAP(wires=[0,1])
qp.SWAP(wires=[0,2])
qp.Y(0)
return qp.expval(qp.Z(0))
>>> dev = qp.device('default.qubit', wires=3)
>>> qnode = qp.QNode(qfunc, dev)
>>> print(qp.draw(qnode)())
0: ──H─╭SWAP─╭SWAP──Y─┤ <Z>
1: ──X─╰SWAP─│────────┤
2: ──────────╰SWAP────┤
We can remove the SWAP gates by running the ``undo_swap`` transform, where the wires
involved in the SWAP gates are interchanged:
>>> optimized_qnode = undo_swaps(qnode)
>>> print(qp.draw(optimized_qnode)())
0: ──Y─┤ <Z>
1: ──H─┤
2: ──X─┤
Gates are iterated through from right to left, where non-SWAP gates are ignored. The first
gate is a ``Y`` gate, which is left to act on wire ``0``. Next, the right-most SWAP gate
acting on wires ``(0, 2)`` is removed, and the wires are manually swapped; wire ``2`` now
becomes wire ``0``, and vice versa. Next, the SWAP gate acting on wires ``(0, 1)`` is
removed and the wires are interchanged.
Altogether, this affects the wire labels as follows, where the operations to the left of
both SWAP gates have their wire labels changed accordingly.
* wire ``0`` changes to wire ``2`` which changes to wire ``1``. This moves the ``H`` gate from wire ``0`` to wire ``1``.
* wire ``2`` changes to wire ``0``.
* wire ``1`` changes to wire ``2``. This moves the ``X`` gate from wire ``1`` to wire ``2``.
"""
wire_map = {wire: wire for wire in tape.wires}
gates = []
for current_gate in reversed(tape.operations):
if current_gate.name == "SWAP":
swap_wires_0, swap_wires_1 = current_gate.wires
wire_map[swap_wires_0], wire_map[swap_wires_1] = (
wire_map[swap_wires_1],
wire_map[swap_wires_0],
)
else:
gates.append(current_gate.map_wires(wire_map))
gates.reverse()
new_tape = tape.copy(operations=gates)
new_tape.trainable_params = tape.trainable_params
return [new_tape], null_postprocessing
_modules/pennylane/transforms/optimization/undo_swaps
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