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qiskit-terra / opflow / expectations / __init__.py
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# This code is part of Qiskit.
#
# (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.
#
# 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.

"""
Expectations (:mod:`qiskit.opflow.expectations`)
================================================

.. currentmodule:: qiskit.opflow.expectations

.. deprecated:: 0.24.0

    The :mod:`qiskit.opflow` module is deprecated and will be removed no earlier
    than 3 months after the release date. For code migration guidelines,
    visit https://qisk.it/opflow_migration.

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 :class:`~qiskit.opflow.state_fns.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 :class:`PauliExpectation` to convert it to a diagonal measurement
and circuit pre-rotations to append to the state, and sample this circuit on Quantum hardware with
a :class:`~qiskit.opflow.converters.CircuitSampler`. All in all, this would be:
``my_sampler.convert(my_expect.convert(~StateFn(o)) @ my_state).eval()``.


Expectation Base Class
----------------------

The ExpectationBase class gives an interface for algorithms to ask for Expectations as
execution settings. For example, if an algorithm contains an expectation value step within it,
such as :class:`~qiskit.algorithms.VQE`, the algorithm can give the opportunity for the user
to pass an ExpectationBase of their choice to be used in that expectation value step.

.. autosummary::
   :toctree: ../stubs/
   :template: autosummary/class_no_inherited_members.rst

   ExpectationBase

Expectations
------------

.. autosummary::
   :toctree: ../stubs/
   :template: autosummary/class_no_inherited_members.rst

   ExpectationFactory
   AerPauliExpectation
   MatrixExpectation
   PauliExpectation
   CVaRExpectation
"""

from .expectation_base import ExpectationBase
from .expectation_factory import ExpectationFactory
from .pauli_expectation import PauliExpectation
from .aer_pauli_expectation import AerPauliExpectation
from .matrix_expectation import MatrixExpectation
from .cvar_expectation import CVaRExpectation

__all__ = [
    "ExpectationBase",
    "ExpectationFactory",
    "PauliExpectation",
    "AerPauliExpectation",
    "CVaRExpectation",
    "MatrixExpectation",
]