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9 March 2022 Scalable nonlinear optical computing with multimode fibers
Ugur Tegin, Mustafa Yildirim, Ilker Oguz, Jih-Liang Hsieh, Christophe Moser, Demetri Psaltis
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Proceedings Volume PC12019, AI and Optical Data Sciences III; PC120190F (2022) https://doi.org/10.1117/12.2607726
Event: SPIE OPTO, 2022, San Francisco, California, United States
Abstract
An optical computing framework based on spatiotemporal nonlinear effects of multimode fibers is presented. Experimentally, a powerful computation engine can be realized using linear and nonlinear interactions of spatial fiber modes. With the present optical scheme, we demonstrated excellent performance on a variety of classification and regression tasks. Our studies showed that spatiotemporal fiber nonlinearities are as effective as digital neural network structures in challenging computational tasks. Featuring better energy efficiency and easy scalability, our method provides a new approach to optical computation.
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Ugur Tegin, Mustafa Yildirim, Ilker Oguz, Jih-Liang Hsieh, Christophe Moser, and Demetri Psaltis "Scalable nonlinear optical computing with multimode fibers", Proc. SPIE PC12019, AI and Optical Data Sciences III, PC120190F (9 March 2022); https://doi.org/10.1117/12.2607726
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KEYWORDS
Multimode fibers
Nonlinear optics
Neural networks
Machine learning
Optical computing
Optical signal processing
Picosecond phenomena
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