qiskit.opflow.expectations.expectation_base의 소스 코드

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# (C) Copyright IBM 2020, 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.
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"""ExpectationBase Class"""

from abc import abstractmethod
from typing import Union

import numpy as np

from qiskit.opflow.converters import ConverterBase
from qiskit.opflow.operator_base import OperatorBase
from qiskit.utils.deprecation import deprecate_func

[문서]class ExpectationBase(ConverterBase): r""" Deprecated: A base for Expectation value converters. Expectations are converters which enable the computation of the expectation value of an Observable with respect to some state function. They traverse an Operator tree, replacing OperatorStateFn measurements with equivalent measurements which are more amenable to computation on quantum or classical hardware. For example, if one would like to measure the expectation value of an Operator ``o`` expressed as a sum of Paulis with respect to some state function, but only has access to diagonal measurements on Quantum hardware, we can create a measurement ~StateFn(o), use a ``PauliExpectation`` to convert it to a diagonal measurement and circuit pre-rotations to a append to the state, and sample this circuit on Quantum hardware with a CircuitSampler. All in all, this would be: ``my_sampler.convert(my_expect.convert(~StateFn(o)) @ my_state).eval()``. """ @deprecate_func( since="0.24.0", additional_msg="For code migration guidelines, visit https://qisk.it/opflow_migration.", ) def __init__(self) -> None: super().__init__()
[문서] @abstractmethod def convert(self, operator: OperatorBase) -> OperatorBase: """Accept an Operator and return a new Operator with the measurements replaced by alternate methods to compute the expectation value. Args: operator: The operator to convert. Returns: The converted operator. """ raise NotImplementedError
[문서] @abstractmethod def compute_variance(self, exp_op: OperatorBase) -> Union[list, complex, np.ndarray]: """Compute the variance of the expectation estimator. Args: exp_op: The full expectation value Operator after sampling. Returns: The variances or lists thereof (if exp_op contains ListOps) of the expectation value estimation. """ raise NotImplementedError