| Texto completo | |
| Autor(es): |
Friedrich, Lucas
;
Farias, Tiago de Souza
;
Maziero, Jonas
Número total de Autores: 3
|
| Tipo de documento: | Artigo Científico |
| Fonte: | QUANTUM MACHINE INTELLIGENCE; v. 7, n. 1, p. 17-pg., 2025-06-01. |
| Resumo | |
Variational quantum algorithms (VQAs) have emerged as pivotal strategies for attaining quantum advantage in diverse scientific and technological domains, notably within quantum neural networks. However, despite their potential, VQAs encounter significant obstacles, chief among them being the vanishing gradient problem, commonly referred to as barren plateaus. In this article, through meticulous analysis, we demonstrate that existing literature implicitly suggests the intrinsic influence of qudit dimensionality on barren plateaus. To instantiate these findings, we present numerical results that exemplify the impact of qudit dimensionality on barren plateaus. Therefore, despite the proposition of various error mitigation techniques, our results call for further scrutiny about their efficacy in the context of VQAs with qudits. (AU) | |
| Processo FAPESP: | 23/15739-3 - Algoritmos Quânticos para Resolução de Problemas Complexos e Aplicações Comerciais |
| Beneficiário: | Tiago de Souza Farias |
| Modalidade de apoio: | Bolsas no Brasil - Pós-Doutorado |