Reservoir computing with solitons

• Type: Article in International Scientific Journal
• Date: 2021

Authors

Silva, NA (Author) Other; Ferreira, TD (Author) Other; Guerreiro, A (Author) FCUP

Journal

Title: New Journal of Physics

Vol. 23

ISSN: 1367-2630

Publisher: Institute of Physics Publishing

Indexing

ISI Web of Knowledge - 15 Citations

Scopus - 19 Citations

Other information

Authenticus ID: 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 11