| # 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. | |
| """ | |
| Utility functions and classes (:mod:`qiskit_machine_learning.utils`) | |
| ==================================================================== | |
| A collection of utility functions and classes provided by Qiskit Machine Learning. | |
| .. currentmodule:: qiskit_machine_learning.utils | |
| Utilities | |
| ---------- | |
| .. autosummary:: | |
| :toctree: | |
| loss_functions | |
| """ | |
| from .adjust_num_qubits import derive_num_qubits_feature_map_ansatz | |
| __all__ = ["derive_num_qubits_feature_map_ansatz"] | |