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3 October 2022 Programming nonlinearities inside multimode fibers for optical computing (Conference Presentation)
Ilker Oguz, Jih-Liang Hsieh, Niyazi Ulas Dinc, Ugur Tegin, Mustafa Yildirim, Carlo Gigli, Christophe Moser, Demetri Psaltis
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Proceedings Volume PC12225, Optics and Photonics for Information Processing XVI; PC1222501 (2022) https://doi.org/10.1117/12.2632627
Event: SPIE Optical Engineering + Applications, 2022, San Diego, California, United States
Abstract
Utilizing light propagation and optical nonlinearities is one of the strategies to accelerate computational tasks in tandem with electrical circuits in an energy-efficient manner. Computing with multimode optical fibers has been demonstrated to be energy efficient due to the high light confinement and multidimensionality. However, these optical nonlinearities have not been programmed for a specific computational task and thus the performance is not optimal. In this study, we demonstrate that the nonlinear transformation in the fiber can be programmed to obtain improved performances on several different machine learning tasks by shaping the wavefront of the information encoding beam.
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Ilker Oguz, Jih-Liang Hsieh, Niyazi Ulas Dinc, Ugur Tegin, Mustafa Yildirim, Carlo Gigli, Christophe Moser, and Demetri Psaltis "Programming nonlinearities inside multimode fibers for optical computing (Conference Presentation)", Proc. SPIE PC12225, Optics and Photonics for Information Processing XVI, PC1222501 (3 October 2022); https://doi.org/10.1117/12.2632627
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KEYWORDS
Multimode fibers
Computer programming
Optical computing
Electro optical modeling
Machine learning
Nonlinear optics
Wavefronts
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