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Publication detail

Authors: F. Laporte, J. Dambre, P. Bienstman
Title: Reservoir Computing with signal-mixing cavities
Format: International Conference Presentation
Publication date: 7/2017
Journal/Conference/Book: 19th International Conference on Transparent Optical Networks (ICTON) (invited)
Editor/Publisher: IEEE, 
Volume(Issue): p.We.A5.3
Location: Girona, Spain
DOI: 10.1109/ICTON.2017.8024990
Citations: 1 (Dimensions.ai - last update: 4/12/2022)
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Abstract

In an age where we get swamped by big data, new machine learning techniques for efficient high-speed data processing become more important than ever. One of these techniques, known as reservoir computing, is specifically designed for processing time-dependent data. We propose some new ideas for implementing such a reservoir computer on a silicon photonics chip for low-power and high-bandwidth optical communication applications. Our simulations show that this photonic reservoir can for example be used in pattern recognition tasks such as header recognition.

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