Optical computing with multimode fiber nonlinearities

Ugur Tegin; Mustafa Yildirim; Ilker Oguz; Christophe Moser; Demetri Psaltis

doi:10.1117/12.2594821

1 August 2021 Optical computing with multimode fiber nonlinearities

Ugur Tegin, Mustafa Yildirim, Ilker Oguz, Christophe Moser, Demetri Psaltis

Proceedings Volume 11804, Emerging Topics in Artificial Intelligence (ETAI) 2021; 118040F (2021) https://doi.org/10.1117/12.2594821
Event: SPIE Nanoscience + Engineering, 2021, San Diego, California, United States

Abstract

A novel optical computing framework is presented by harnessing spatiotemporal nonlinear effects of multimode fibers for machine learning. With linear and nonlinear interactions of spatial fiber modes, a powerful computation engine is experimentally realized. We demonstrated excellent performance with the present optical scheme for various classification tasks. We demonstrated that spatiotemporal fiber nonlinearities perform as well as digital neural network structures for challenging computational tasks. With better energy efficiency and easy scalability, our method presents a novel path toward powerful optical computation.

Conference Presentation

Citation Download Citation

Ugur Tegin, Mustafa Yildirim, Ilker Oguz, Christophe Moser, and Demetri Psaltis "Optical computing with multimode fiber nonlinearities", Proc. SPIE 11804, Emerging Topics in Artificial Intelligence (ETAI) 2021, 118040F (1 August 2021); https://doi.org/10.1117/12.2594821

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