Reservoir computing with optical solitons

• Type: Article in International Conference Proceedings Book
• Date: 2021

Authors

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

Conference proceedings International

Title: NONLINEAR OPTICS AND APPLICATIONS XII

Conference on Nonlinear Optics and Applications XII

ELECTR NETWORK, APR 19-23, 2021

Indexing

ISI Web of Knowledge - 0 Citations

Scopus - 0 Citations

Other information

Authenticus ID: P-00V-5FT

DOI: 10.1117/12.2592329

Abstract (EN): The need for faster and energy-efficient computing technologies has recently pushed for major developments on alternative computing paradigms to the common von Neumann architecture. Amongst those, reservoir computing framework is an emerging concept that leverages a simple training process and eases transference to hardware implementations, allowing any given nonlinear physical system to act as a computing platform. In this work, we explore how we can make use of a discrete chain of solitons to create an effective reservoir computing framework, investigating not only the ability to learn data but also to predict models depending on the strength of the nonlinear interaction of the media. Probing the role of the nonlinear separation for tasks involving nonlinear separable data, these results open new possibilities for a multitude of physical implementations in the context of optical sciences, from optical fibers to nonlinear crystals.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 7