Machine learning with multimode fibers

Uğur Teğin; Uğur Teğin; Mustafa Yıldırım; İlker Oğuz; İlker Oğuz; Christophe Moser; Demetri Psaltis

doi:10.1364/CLEO_SI.2021.SW3R.3

Conference on Lasers and Electro-Optics
OSA Technical Digest (Optica Publishing Group, 2021),
paper SW3R.3
•https://doi.org/10.1364/CLEO_SI.2021.SW3R.3

Machine learning with multimode fibers

Uğur Teğin, Mustafa Yıldırım, İlker Oğuz, Christophe Moser, and Demetri Psaltis

CLEO: Science and Innovations 2021

San Jose, California United States
9–14 May 2021
ISBN: 978-1-943580-91-0

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Ultrafast Nonlinear Dynamics and Frequency Conversion (SW3R)

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U. Teğin, M. Yıldırım, İ. Oğuz, C. Moser, and D. Psaltis, "Machine learning with multimode fibers," in Conference on Lasers and Electro-Optics, J. Kang, S. Tomasulo, I. Ilev, D. Müller, N. Litchinitser, S. Polyakov, V. Podolskiy, J. Nunn, C. Dorrer, T. Fortier, Q. Gan, and C. Saraceno, eds., OSA Technical Digest (Optica Publishing Group, 2021), paper SW3R.3.

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Abstract

A novel optical computing framework by harnessing spatiotemporal nonlinear effects of multimode fibers for machine learning is presented. With linear and nonlinear interactions of the spatial fiber modes, a brain-inspired computation engine is experimentally realized.

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