Source code for qiskit.aqua.algorithms.quantum_algorithm

# -*- coding: utf-8 -*-

# This code is part of Qiskit.
#
# (C) Copyright IBM 2018, 2020.
#
# 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.

"""
This module implements the abstract base class for algorithm modules.

To create add-on algorithm modules subclass the QuantumAlgorithm
class in this module.
Doing so requires that the required algorithm interface is implemented.
"""

from abc import ABC, abstractmethod
from typing import Union, Dict, Optional
from qiskit.providers import BaseBackend
from qiskit.aqua import aqua_globals, QuantumInstance, AquaError


[docs]class QuantumAlgorithm(ABC): """ Base class for Quantum Algorithms. This method should initialize the module and use an exception if a component of the module is available. """ @abstractmethod def __init__(self, quantum_instance: Optional[Union[QuantumInstance, BaseBackend]]) -> None: self._quantum_instance = None if quantum_instance: self.quantum_instance = quantum_instance @property def random(self): """Return a numpy random.""" return aqua_globals.random
[docs] def run(self, quantum_instance: Optional[Union[QuantumInstance, BaseBackend]] = None, **kwargs) -> Dict: """Execute the algorithm with selected backend. Args: quantum_instance: the experimental setting. kwargs (dict): kwargs Returns: dict: results of an algorithm. Raises: AquaError: If a quantum instance or backend has not been provided """ if quantum_instance is None and self.quantum_instance is None: raise AquaError("Quantum device or backend " "is needed since you are running quantum algorithm.") if isinstance(quantum_instance, BaseBackend): self.set_backend(quantum_instance, **kwargs) else: if quantum_instance is not None: self.quantum_instance = quantum_instance return self._run()
@abstractmethod def _run(self) -> Dict: raise NotImplementedError() @property def quantum_instance(self) -> Union[None, QuantumInstance]: """ Returns quantum instance. """ return self._quantum_instance @quantum_instance.setter def quantum_instance(self, quantum_instance: Union[QuantumInstance, BaseBackend]) -> None: """ Sets quantum instance. """ if isinstance(quantum_instance, BaseBackend): quantum_instance = QuantumInstance(quantum_instance) self._quantum_instance = quantum_instance
[docs] def set_backend(self, backend: BaseBackend, **kwargs) -> None: """ Sets backend with configuration. """ self.quantum_instance = QuantumInstance(backend) self.quantum_instance.set_config(**kwargs)
@property def backend(self) -> BaseBackend: """ Returns backend. """ return self.quantum_instance.backend @backend.setter def backend(self, backend: BaseBackend): """ Sets backend without additional configuration. """ self.set_backend(backend)