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Proceedings Paper

All-optical deep feed forward network based on nonlinear microresonators for telecom applications (Conference Presentation)
Author(s): Mattia Mancinelli

Paper Abstract

Recently, there have been a renewed interest on brain-inspired (neuromorphic) computing schemes that are directly implemented on a physical platform. In fact, such optical or electrical platforms allow performing important computational tasks at a speed much higher than the software-based counterparts. Here we propose to use neuromorphic silicon photonics to recover data integrity directly in the optical domain outperforming the electronic performances. We demonstrate a silicon photonic Feed Forward Network that can be trained to solve several tasks directly in the optical domain: linear and non-linear distortion recovering, demodulation of complex modulated data and error correction.

Paper Details

Date Published: 20 March 2020
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Proc. SPIE 11284, Smart Photonic and Optoelectronic Integrated Circuits XXII, 112840A (20 March 2020); doi: 10.1117/12.2546546
Show Author Affiliations
Mattia Mancinelli, Univ. degli Studi di Trento (Italy)


Published in SPIE Proceedings Vol. 11284:
Smart Photonic and Optoelectronic Integrated Circuits XXII
Sailing He; Laurent Vivien, Editor(s)

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