Micro mirrors based coupling of light to multi-core fiber realizing in-fiber photonic neural network processor

Eyal Cohen; Dror Malka; Amir Shemer; Asaf Shahmoon; Michael London; Zeev Zalevsky

doi:10.1117/12.2253426

20 February 2017 Micro mirrors based coupling of light to multi-core fiber realizing in-fiber photonic neural network processor

Eyal Cohen, Dror Malka, Amir Shemer, Asaf Shahmoon, Michael London, Zeev Zalevsky

Author Affiliations +

Proceedings Volume 10117, Emerging Digital Micromirror Device Based Systems and Applications IX; 1011703 (2017) https://doi.org/10.1117/12.2253426
Event: SPIE OPTO, 2017, San Francisco, California, United States

Abstract

Hardware implementation of artificial neural networks facilitates real-time parallel processing of massive data sets. Optical neural networks offer low-volume 3D connectivity together with large bandwidth and minimal heat production in contrast to electronic implementation. Here, we present a DMD based approaches to realize energetically efficient light coupling into a multi-core fiber realizing a unique design for in-fiber optical neural networks. Neurons and synapses are realized as individual cores in a multi-core fiber. Optical signals are transferred transversely between cores by means of optical coupling. Pump driven amplification in Erbium-doped cores mimics synaptic interactions. In order to dynamically and efficiently couple light into the multi-core fiber a DMD based micro mirror device is used to perform proper beam shaping operation. The beam shaping reshapes the light into a large set of points in space matching the positions of the required cores in the entrance plane to the multi-core fiber.

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Citation Download Citation

Eyal Cohen, Dror Malka, Amir Shemer, Asaf Shahmoon, Michael London, and Zeev Zalevsky "Micro mirrors based coupling of light to multi-core fiber realizing in-fiber photonic neural network processor", Proc. SPIE 10117, Emerging Digital Micromirror Device Based Systems and Applications IX, 1011703 (20 February 2017); https://doi.org/10.1117/12.2253426

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