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Authors: S. Sackesyn, C. Ma, A. Katumba, F. Denis-le Coarer, J. Dambre, P. Bienstman
Title: A power-efficient architecture for silicon photonic reservoir computing
Format: International Conference Presentation
Publication date: 11/2019
Journal/Conference/Book: Proceedings of the 24rd Annual Symposium of the IEEE Photonics Benelux Chapter
Volume(Issue): p.4
Location: Amsterdam, Netherlands
Citations: Look up on Google Scholar
Download: Download this Publication (197KB) (197KB)


Reservoir computing is a neuromorphic computing paradigm which is well suited for hardware implementations. In this work, an enhanced reservoir architecture is introduced as to lower the losses and improve mixing behavior in silicon photonic reservoir computing designs.

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