Reservoir computing with solitons

• Tipo: Artigo em Revista Científica Internacional
• Data: 2021

Autores

Silva, NA (Autor) Outra; Ferreira, TD (Autor) Outra; Guerreiro, A (Autor) FCUP

Revista

Título: New Journal of Physics

Vol. 23

ISSN: 1367-2630

Editora: Institute of Physics Publishing

Indexação

ISI Web of Knowledge - 15 Citações

Scopus - 19 Citações

Outras Informações

ID Authenticus: P-00T-AVD

DOI: 10.1088/1367-2630/abda84

Abstract (EN): Reservoir computing is a promising framework that facilitates the approach to physical neuromorphic hardware by enabling a given nonlinear physical system to act as a computing platform. In this work, we exploit this paradigm to propose a versatile and robust soliton-based computing system using a discrete soliton chain as a reservoir. By taking advantage of its tunable governing dynamics, we show that sufficiently strong nonlinear dynamics allows our soliton-based solution to perform accurate regression and classification tasks of non-linear separable datasets. At a conceptual level, the results presented pave a way for the physical realization of novel hardware solutions and have the potential to inspire future research on soliton-based computing using various physical platforms, leveraging its ubiquity across multiple fields of science, from nonlinear optical media to quantum systems.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 11