Qi, Han and Wang, Lei and Zhu, Hongsheng and Gani, Abdullah and Gong, Changqing (2023) The barren plateaus of quantum neural networks: review, taxonomy and trends. Quantum Information Processing, 22 (12). ISSN 1570-0755, DOI https://doi.org/10.1007/s11128-023-04188-7.
Full text not available from this repository.Abstract
In the noisy intermediate-scale quantum (NISQ) era, the computing power displayed by quantum computing hardware may be more advantageous than classical computers, but the emergence of the barren plateau (BP) has hindered quantum computing power and cannot solve large-scale problems. This summary analyzes the phenomenon of the BP in the quantum neural network that is rapidly developing in the NISQ era. This article will review the research status of the BP problem in the quantum neural network (QNN) in the past five years from the analysis of the source of the BP, the current stage solution, and the future research direction. First of all, the source of the BP was briefly explained and then classified the BP solution from different perspectives, including quantum embedding in QNN, ansatz parameter selection and structural design, and optimization algorithms. Finally, the BP problem in the QNN is summarized, and the research direction for solving problems in the future is made.
| Item Type: | Article |
|---|---|
| Funders: | UNSPECIFIED |
| Uncontrolled Keywords: | Quantum neural network; Barren plateau; Quantum computing |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Faculty of Computer Science & Information Technology |
| Depositing User: | Ms. Juhaida Abd Rahim |
| Date Deposited: | 09 Sep 2025 04:46 |
| Last Modified: | 09 Sep 2025 04:46 |
| URI: | http://eprints.um.edu.my/id/eprint/50574 |
Actions (login required)
 |
View Item |
