Source code for qiskit_nature.second_q.problems.lattice_model_problem
# This code is part of a Qiskit project.
#
# (C) Copyright IBM 2022, 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
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"""The Lattice Model Problem class."""
from __future__ import annotations
from typing import cast, Union
from qiskit_algorithms import EigensolverResult, MinimumEigensolverResult
from qiskit_nature.second_q.hamiltonians import LatticeModel
from qiskit_nature.second_q.properties import Interpretable
from .base_problem import BaseProblem
from .lattice_model_result import LatticeModelResult
from .lattice_properties_container import LatticePropertiesContainer
from .eigenstate_result import EigenstateResult
[docs]class LatticeModelProblem(BaseProblem):
"""A lattice model problem.
This class specifically deals with handling of :class:`.LatticeModel` type hamiltonians.
The following attributes can be read and updated once the ``LatticeModelProblem`` object has
been constructed.
Attributes:
properties (LatticePropertiesContainer): a container for additional observable operator
factories.
"""
def __init__(self, hamiltonian: LatticeModel) -> None:
"""
Args:
hamiltonian: A lattice model class to create second quantized operators.
Raises:
TypeError: if the provided ``hamiltonian`` is not of type :class:`.LatticeModel`.
"""
super().__init__(hamiltonian)
self.properties: LatticePropertiesContainer = LatticePropertiesContainer()
@property
def hamiltonian(self) -> LatticeModel:
"""Returns the hamiltonian wrapped by this problem."""
return cast(LatticeModel, self._hamiltonian)
[docs] def interpret(
self,
raw_result: Union[EigenstateResult, EigensolverResult, MinimumEigensolverResult],
) -> LatticeModelResult:
"""Interprets a raw result in the context of this transformation.
Args:
raw_result: a raw result to be interpreted
Returns:
A lattice model result.
"""
eigenstate_result = super().interpret(raw_result)
result = LatticeModelResult()
result.combine(eigenstate_result)
if isinstance(self.hamiltonian, Interpretable):
self.hamiltonian.interpret(result)
for prop in self.properties:
if isinstance(prop, Interpretable):
prop.interpret(result)
result.computed_lattice_energies = eigenstate_result.eigenvalues
return result