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Authors: Florian Denis-le Coarer, Damien Rontani, A. Katumba, Matthias Freiberger, Joni Dambre, P. Bienstman, Marc SCIAMANNA
Title: Toward neuro-inspired computing using a small network of micro-ring resonators on an integrated photonic chip
Format: International Conference Proceedings
Publication date: 5/2018
Journal/Conference/Book: SPIE PHOTONICS EUROPE
Editor/Publisher: SPIE, 
Volume(Issue): 10689 p.1068908-9
Location: Strasbourg, France
Internal Reference: [N-2228]
DOI:

Abstract

We present in this work numerical simulations of the performance of an on-chip photonic reservoir computer using nonlinear microring resonator as neurons. We present dynamical properties of the nonlinear node and the reservoir computer, and we analyse the performance of the reservoir on a typical nonlinear Boolean task : the delayed XOR task. We study the performance for various designs (number of nodes, and length of the synapses in the reservoir), and with respect to the properties of the optical injection of the data (optical detuning and power). From this work, we find that such a reservoir has state-of-the art level of performance on this particular task - that is a bit error rate of 2.5 10-4 - at 20 Gb/s, with very good power efficiency (total injected power lower than 1.0 mW).

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