Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
Conferences > EQEC > 2023 > jsiii_2 > jsiii_2_1
  • Conference on Lasers and Electro-Optics/Europe (CLEO/Europe 2023) and European Quantum Electronics Conference (EQEC 2023)
  • Technical Digest Series (Optica Publishing Group, 2023),
  • paper jsiii_2_1

Scalable Delay Line-Free All-Optical Reservoir

Ivan Boikov, Daniel Brunner, and Alfredo de Rossi

Not Accessible

Your library or personal account may give you access

Abstract

All-optical neural networks (NN) are an exciting opportunity to increase computing speed and efficiency [1]. For this purpose Reservoir Computing (RC) [2] (see Fig. 1a) has attracted a lot of interest as it provides performance competitive with conventional NNs, but with a simpler implementation. Particular interest is on RC based on integrated photonics, as it is compact, scalable and provides intrinsic nonlinear effects [3] necessary for a NN.

© 2023 IEEE

PDF Article
More Like This
Header Recognition Utilizing an All-Optical Reservoir with Delay- Bandwidth-Product-Maximized Double-Ring Resonators

Zheng Li, Zongze Li, Xiaoyan Zhou, Guanju Peng, Yuhao Guo, Wenwei Xu, and Lin Zhang
JW2A.17 CLEO: Applications and Technology (CLEO:A&T) 2023

Photonic delay-based reservoir computers as deep neural network preprocessors

Ian Bauwens, Guy Van der Sande, Peter Bienstman, and Guy Verschaffelt
jsiii_p_8 European Quantum Electronics Conference (EQEC) 2023

Speeding up a time-delay photonic reservoir

Mirko Goldmann, Irene Estebanez, Elger A. Vlieg, Claudio R. Mirasso, Ingo Fischer, Apostolos Argyris, and Miguel C. Soriano
jsiii_2_2 European Quantum Electronics Conference (EQEC) 2023

View More...
Select as filters
Select Topics Cancel
Top
       
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.
Privacy | Terms of Use