Source code for qbraid.programs.ahs._model

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#
# This file is part of the qBraid-SDK
#
# The qBraid-SDK is free software released under the GNU General Public License v3
# or later. You can redistribute and/or modify it under the terms of the GPL v3.
# See the LICENSE file in the project root or <https://www.gnu.org/licenses/gpl-3.0.html>.
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"""
Module defining AnalogHamiltonianProgram Class

"""
from __future__ import annotations

import json
from abc import ABC, abstractmethod
from typing import TYPE_CHECKING, Any

from qbraid.programs.program import QuantumProgram

if TYPE_CHECKING:
    import qbraid.runtime


[docs] class AnalogHamiltonianProgram(QuantumProgram, ABC): """Abstract class for qbraid program wrapper objects.""" @property def hamiltonian(self) -> dict: """Return the Hamiltonian of the program.""" return self.to_dict()["hamiltonian"] @property def register(self) -> dict: """AtomArrangement: The initial atom arrangement for the simulation.""" return self.to_dict()["register"] @property def num_atoms(self) -> int: """Return the number of atoms in the program.""" return len(self.register["sites"]) @property def num_qubits(self) -> int: """Number of qubits needed by a quantum device to execute this program.""" return self.num_atoms def transform(self, device: qbraid.runtime.QuantumDevice) -> None: """Transform program to according to device target profile.""" return None @abstractmethod def to_dict(self) -> dict: """Return the dictionary representation of the program.""" def __eq__(self, other: Any) -> bool: """Check if two programs are equal.""" if not isinstance(other, self.__class__): return False return self.to_dict() == other.to_dict()
[docs] class AHSEncoder(json.JSONEncoder): """Class for encoding AnalogHamiltonianProgram objects to dictionaries. Example: .. code-block:: python >>> import json >>> from qbraid.programs.ahs import AHSEncoder >>> json_str = json.dumps(ahs_program, cls=AHSEncoder) """ def default(self, o: Any) -> Any: if isinstance(o, AnalogHamiltonianProgram): return o.to_dict() return super().default(o)