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Proceedings Paper

Artificial photonic neural networks (Conference Presentation)

Paper Abstract

Software-implementation of brain-inspired computing approaches underlie many important modern-day computational tasks. Yet, traditional computing architectures physically separate the core computing functions of memory and processing. I will present an all-optical approach to overcome these restrictions by developing photonic spiking neurons interconnected via an integrated photonics network to photonic synapses. I will present our results in scaling to multi-element circuits and report on their optical performance in pattern recognition and data storage. Photonic implementations give access to the speed, bandwidth and power improvements inherent to optical systems, which will be attractive for the direct processing of data in the optical domain.

Paper Details

Date Published: 9 March 2020
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Proc. SPIE 11284, Smart Photonic and Optoelectronic Integrated Circuits XXII, 1128409 (9 March 2020); doi: 10.1117/12.2545601
Show Author Affiliations
Wolfram H. P. Pernice, Westfälische Wilhelms-Univ. Münster (Germany)


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

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