| 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
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Abstract
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. Related Research Topics
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