C贸digo fuente para qiskit.opflow.gradients.qfi

# 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.

"""The module for Quantum the Fisher Information."""

from typing import List, Union, Optional

from qiskit.circuit import ParameterExpression, ParameterVector
from qiskit.circuit._utils import sort_parameters
from qiskit.utils.deprecation import deprecate_func
from ..list_ops.list_op import ListOp
from ..expectations.pauli_expectation import PauliExpectation
from ..state_fns.circuit_state_fn import CircuitStateFn
from .qfi_base import QFIBase
from .circuit_qfis import CircuitQFI

[documentos]class QFI(QFIBase): r"""Deprecated: Compute the Quantum Fisher Information (QFI). Computes the QFI given a pure, parameterized quantum state, where QFI is: .. math:: \mathrm{QFI}_{kl}= 4 \mathrm{Re}[\langle \partial_k \psi | \partial_l \psi \rangle 鈭 \langle\partial_k \psi | \psi \rangle \langle\psi | \partial_l \psi \rangle]. """ @deprecate_func( since="0.24.0", additional_msg="For code migration guidelines, visit https://qisk.it/opflow_migration.", ) def __init__(self, qfi_method: Union[str, CircuitQFI] = "lin_comb_full"): super().__init__(qfi_method=qfi_method)
[documentos] def convert( self, operator: CircuitStateFn, params: Optional[ Union[ParameterExpression, ParameterVector, List[ParameterExpression]] ] = None, ) -> ListOp: r""" Args: operator: The operator corresponding to the quantum state \|蠄(蠅)銆塮or which we compute the QFI params: The parameters we are computing the QFI wrt: 蠅 If not explicitly passed, they are inferred from the operator and sorted by name. Returns: ListOp[ListOp] where the operator at position k,l corresponds to QFI_kl Raises: ValueError: If operator is not parameterized. """ if len(operator.parameters) == 0: raise ValueError("The operator we are taking the gradient of is not parameterized!") expec_op = PauliExpectation(group_paulis=False).convert(operator).reduce() cleaned_op = self._factor_coeffs_out_of_composed_op(expec_op) if params is None: params = sort_parameters(operator.parameters) return self.qfi_method.convert(cleaned_op, params)