Neuromorphic information processing using silicon photonics

Peter Bienstman; Joni Dambre; Andrew Katumba; Matthias Freiberger; Floris Laporte; Alessio Lugnan; Stijn Sackesyn; Chonghuai Ma

doi:10.1117/12.2524707

5 September 2019 Neuromorphic information processing using silicon photonics

Peter Bienstman, Joni Dambre, Andrew Katumba, Matthias Freiberger, Floris Laporte, Alessio Lugnan, Stijn Sackesyn, Chonghuai Ma

Author Affiliations +

Proceedings Volume 11081, Active Photonic Platforms XI; 110811I (2019) https://doi.org/10.1117/12.2524707
Event: SPIE Nanoscience + Engineering, 2019, San Diego, California, United States

Abstract

We present our latest results on silicon photonics neuromorphic information processing based a.o. on techniques like reservoir computing. First, we dicuss how passive reservoir computing can be used to perform non-linear signal equalisation in telecom links. Then, we introduce a training method that can deal with limited weight resolution for a hardware implementation of a photonic readout.

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Peter Bienstman, Joni Dambre, Andrew Katumba, Matthias Freiberger, Floris Laporte, Alessio Lugnan, Stijn Sackesyn, and Chonghuai Ma "Neuromorphic information processing using silicon photonics", Proc. SPIE 11081, Active Photonic Platforms XI, 110811I (5 September 2019); https://doi.org/10.1117/12.2524707

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