qiskit_nature.second_q.properties.particle_number のソースコード
# This code is part of a Qiskit project.
#
# (C) Copyright IBM 2021, 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 ParticleNumber property."""
from __future__ import annotations
from typing import Mapping
import qiskit_nature # pylint: disable=unused-import
from qiskit_nature.second_q.operators import FermionicOp
[ドキュメント]class ParticleNumber:
"""The ParticleNumber property.
The following attributes can be set via the initializer but can also be read and updated once
the ``ParticleNumber`` object has been constructed.
Attributes:
num_spatial_orbitals (int): the number of spatial orbitals.
"""
def __init__(self, num_spatial_orbitals: int) -> None:
"""
Args:
num_spatial_orbitals: the number of spatial orbitals in the system.
"""
self.num_spatial_orbitals = num_spatial_orbitals
[ドキュメント] def second_q_ops(self) -> Mapping[str, FermionicOp]:
"""Returns the second quantized particle number operator.
Returns:
A mapping of strings to `FermionicOp` objects.
"""
num_spin_orbitals = 2 * self.num_spatial_orbitals
op = FermionicOp(
{f"+_{o} -_{o}": 1.0 for o in range(num_spin_orbitals)},
num_spin_orbitals=num_spin_orbitals,
)
return {self.__class__.__name__: op}
[ドキュメント] def interpret(
self, result: "qiskit_nature.second_q.problems.EigenstateResult" # type: ignore[name-defined]
) -> None:
"""Interprets an :class:`~qiskit_nature.second_q.problems.EigenstateResult`
in this property's context.
Args:
result: the result to add meaning to.
"""
result.num_particles = []
if result.aux_operators_evaluated is None:
return
for aux_op_eigenvalues in result.aux_operators_evaluated:
if not isinstance(aux_op_eigenvalues, dict):
continue
_key = self.__class__.__name__
if aux_op_eigenvalues[_key] is not None:
result.num_particles.append(aux_op_eigenvalues[_key].real)
else:
result.num_particles.append(None)