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Authors: F. Laporte, A. Katumba, J. Dambre, P. Bienstman
Title: Numerical demonstration of neuromorphic computing with photonic crystal cavities
Format: International Journal
Publication date: 4/2018
Journal/Conference/Book: Optics Express
Editor/Publisher: OSA, 
Volume(Issue): 26(7) p.7955-7964
DOI: 10.1364/OE.26.007955
Citations: 29 (Dimensions.ai - last update: 17/10/2021)
11 (OpenCitations - last update: 19/4/2021)
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Abstract

We propose a new design for a passive photonic reservoir computer on a
silicon photonics chip which can be used in the context of optical
communication applications. The design consists of a photonic crystal
cavity with a quarter-stadium shape, which is known to foster interesting
mixing dynamics. These mixing properties turn out to be very useful for
memory-dependent optical signal processing tasks, such as header
recognition. The proposed, ultra-compact photonic crystal cavity exhibits a
memory of up to 6 bits, while simultaneously accepting bitrates in a wide
region of operation. Moreover, because of the inherent low losses in a
high-Q photonic crystal cavity, the proposed design is very power efficient.

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