Source code for pennylane.templates.subroutines.multiplier
# Copyright 2018-2024 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 Multiplier template.
"""
import numpy as np
import pennylane as qml
from pennylane.operation import Operation
def _mul_out_k_mod(k, x_wires, mod, work_wire_aux, wires_aux):
"""Performs :math:`x \times k` in the registers wires wires_aux"""
op_list = []
op_list.append(qml.QFT(wires=wires_aux))
op_list.append(
qml.ControlledSequence(qml.PhaseAdder(k, wires_aux, mod, work_wire_aux), control=x_wires)
)
op_list.append(qml.adjoint(qml.QFT(wires=wires_aux)))
return op_list
[docs]class Multiplier(Operation):
r"""Performs the in-place modular multiplication operation.
This operator performs the modular multiplication by an integer :math:`k` modulo :math:`mod` in
the computational basis:
.. math::
\text{Multiplier}(k,mod) |x \rangle = | x \cdot k \; \text{mod} \; mod \rangle.
The implementation is based on the quantum Fourier transform method presented in
`arXiv:2311.08555 <https://arxiv.org/abs/2311.08555>`_.
.. note::
To obtain the correct result, :math:`x` must be smaller than :math:`mod`. Also, it
is required that :math:`k` has modular inverse :math:`k^{-1}` with respect to :math:`mod`. That means
:math:`k \cdot k^{-1}` modulo :math:`mod` is equal to 1, which will only be possible if :math:`k` and
:math:`mod` are coprime.
.. seealso:: :class:`~.PhaseAdder` and :class:`~.OutMultiplier`.
Args:
k (int): the number that needs to be multiplied
x_wires (Sequence[int]): the wires the operation acts on. The number of wires must be enough for encoding `x` in the computational basis. The number of wires also limits the maximum value for `mod`.
mod (int): the modulo for performing the multiplication. If not provided, it will be set to its maximum value, :math:`2^{\text{len(x_wires)}}`.
work_wires (Sequence[int]): the auxiliary wires to use for the multiplication. If :math:`mod=2^{\text{len(x_wires)}}`, the number of auxiliary wires must be ``len(x_wires)``. Otherwise ``len(x_wires) + 2`` auxiliary wires are needed.
**Example**
This example performs the multiplication of two integers :math:`x=3` and :math:`k=4` modulo :math:`mod=7`.
.. code-block::
x = 3
k = 4
mod = 7
x_wires = [0,1,2]
work_wires = [3,4,5,6,7]
dev = qml.device("default.qubit", shots=1)
@qml.qnode(dev)
def circuit():
qml.BasisEmbedding(x, wires=x_wires)
qml.Multiplier(k, x_wires, mod, work_wires)
return qml.sample(wires=x_wires)
.. code-block:: pycon
>>> print(circuit())
[1 0 1]
The result :math:`[1 0 1]`, is the binary representation of
:math:`3 \cdot 4 \; \text{modulo} \; 7 = 5`.
.. details::
:title: Usage Details
This template takes as input two different sets of wires.
The first one is ``x_wires``, used to encode the integer :math:`x < \text{mod}` in the Fourier basis.
To represent :math:`x`, ``x_wires`` must include at least :math:`\lceil \log_2(x) \rceil` wires.
After the modular addition, the result can be as large as :math:`\text{mod} - 1`,
requiring at least :math:`\lceil \log_2(\text{mod}) \rceil` wires. Since :math:`x < \text{mod}`,
:math:`\lceil \log_2(\text{mod}) \rceil` is a sufficient length for ``x_wires`` to cover all possible inputs and outputs.
The second set of wires is ``work_wires`` which consist of the auxiliary qubits used to perform the modular multiplication operation.
- If :math:`mod = 2^{\text{len(x_wires)}}`, the length of ``work_wires`` must be equal to the length of ``x_wires``.
- If :math:`mod \neq 2^{\text{len(x_wires)}}`, the length of ``work_wires`` must be ``len(x_wires) + 2``.
Note that the ``Multiplier`` template allows us to perform modular multiplication in the computational basis. However if one just want to perform standard multiplication (with no modulo),
that would be equivalent to setting the modulo :math:`mod` to a large enough value to ensure that :math:`x \cdot k < mod`.
Also, to perform the in-place multiplication operator it is required that :math:`k` has inverse, :math:`k^{-1} \; \text{mod} \; mod`. That means
:math:`k \cdot k^{-1}` modulo :math:`mod` is equal to 1, which will only be possible if :math:`k` and
:math:`mod` are coprime. In other words, :math:`k` and :math:`mod` should not have any common factors other than 1.
"""
grad_method = None
def __init__(
self, k, x_wires, mod=None, work_wires=None, id=None
): # pylint: disable=too-many-arguments
if work_wires is None:
raise ValueError("Work wires must be specified for Multiplier")
x_wires = qml.wires.Wires(x_wires)
work_wires = qml.wires.Wires(work_wires)
if any(wire in work_wires for wire in x_wires):
raise ValueError("None of the wire in work_wires should be included in x_wires.")
if mod is None:
mod = 2 ** len(x_wires)
if mod != 2 ** len(x_wires) and len(work_wires) != (len(x_wires) + 2):
raise ValueError("Multiplier needs as many work_wires as x_wires plus two.")
if len(work_wires) < len(x_wires):
raise ValueError("Multiplier needs as many work_wires as x_wires.")
if mod > 2 ** len(x_wires):
raise ValueError(
"Multiplier must have enough wires to represent mod. The maximum mod "
f"with len(x_wires)={len(x_wires)} is {2 ** len(x_wires)}, but received {mod}."
)
k = k % mod
if np.gcd(k, mod) != 1:
raise ValueError("The operator cannot be built because k has no inverse modulo mod.")
self.hyperparameters["k"] = k
self.hyperparameters["mod"] = mod
self.hyperparameters["work_wires"] = qml.wires.Wires(work_wires)
self.hyperparameters["x_wires"] = qml.wires.Wires(x_wires)
all_wires = qml.wires.Wires(x_wires) + qml.wires.Wires(work_wires)
super().__init__(wires=all_wires, id=id)
@property
def num_params(self):
return 0
def _flatten(self):
metadata = tuple((key, value) for key, value in self.hyperparameters.items())
return tuple(), metadata
@classmethod
def _unflatten(cls, data, metadata):
hyperparams_dict = dict(metadata)
return cls(**hyperparams_dict)
[docs] def map_wires(self, wire_map: dict):
new_dict = {
key: [wire_map.get(w, w) for w in self.hyperparameters[key]]
for key in ["x_wires", "work_wires"]
}
return Multiplier(
self.hyperparameters["k"],
new_dict["x_wires"],
self.hyperparameters["mod"],
new_dict["work_wires"],
)
@property
def wires(self):
"""All wires involved in the operation."""
return self.hyperparameters["x_wires"] + self.hyperparameters["work_wires"]
[docs] def decomposition(self): # pylint: disable=arguments-differ
return self.compute_decomposition(**self.hyperparameters)
@classmethod
def _primitive_bind_call(cls, *args, **kwargs):
return cls._primitive.bind(*args, **kwargs)
[docs] @staticmethod
def compute_decomposition(k, x_wires, mod, work_wires): # pylint: disable=arguments-differ
r"""Representation of the operator as a product of other operators.
Args:
k (int): the number that needs to be multiplied
x_wires (Sequence[int]): the wires the operation acts on. The number of wires must be enough for encoding `x` in the computational basis. The number of wires also limits the maximum value for `mod`.
mod (int): the modulo for performing the multiplication. If not provided, it will be set to its maximum value, :math:`2^{\text{len(x_wires)}}`.
work_wires (Sequence[int]): the auxiliary wires to use for the multiplication. If :math:`mod=2^{\text{len(x_wires)}}`, the number of auxiliary wires must be ``len(x_wires)``. Otherwise ``len(x_wires) + 2`` auxiliary wires are needed.
Returns:
list[.Operator]: Decomposition of the operator
**Example**
>>> qml.Multiplier.compute_decomposition(k=3, mod=8, x_wires=[0,1,2], work_wires=[3,4,5])
[QFT(wires=[3, 4, 5]),
ControlledSequence(PhaseAdder(wires=[3, 4 , 5 , None]), control=[0, 1, 2]),
Adjoint(QFT(wires=[3, 4, 5])),
SWAP(wires=[0, 3]),
SWAP(wires=[1, 4]),
SWAP(wires=[2, 5]),
Adjoint(Adjoint(QFT(wires=[3, 4, 5]))),
Adjoint(ControlledSequence(PhaseAdder(wires=[3, 4, 5, None]), control=[0, 1, 2])),
Adjoint(QFT(wires=[3, 4, 5]))]
"""
op_list = []
if mod != 2 ** len(x_wires):
work_wire_aux = work_wires[:1]
wires_aux = work_wires[1:]
wires_aux_swap = wires_aux[1:]
else:
work_wire_aux = None
wires_aux = work_wires[: len(x_wires)]
wires_aux_swap = wires_aux
op_list.extend(_mul_out_k_mod(k, x_wires, mod, work_wire_aux, wires_aux))
for x_wire, aux_wire in zip(x_wires, wires_aux_swap):
op_list.append(qml.SWAP(wires=[x_wire, aux_wire]))
inv_k = pow(k, -1, mod)
op_list.extend(qml.adjoint(_mul_out_k_mod)(inv_k, x_wires, mod, work_wire_aux, wires_aux))
return op_list
_modules/pennylane/templates/subroutines/multiplier
Download Python script
Download Notebook
View on GitHub