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4 October 2024 Nonlinear optical computing with linear wave scattering
Hui Cao
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Proceedings Volume PC13118, Emerging Topics in Artificial Intelligence (ETAI) 2024; PC131180U (2024) https://doi.org/10.1117/12.3027850
Event: Nanoscience + Engineering, 2024, San Diego, California, United States
Abstract
Optical computing provides a compelling avenue to sustain the rapid growth of computing power needed by the rise of AI. However, it still struggles to efficiently implement the all-optical nonlinearities required to achieve effectively deep neural networks, a prerequisite for modern performance. Here, we exploit purely a linear optical setup to perform optical nonlinear mapping for information processing and compression. The essential ingredient is to encode information on a spatial light modulator embedded in a multiple scattering cavity. Light exiting the cavity encodes a much richer information than its linear counterpart. Fed into a very simple neural network as a digital decoder, we demonstrate its potential for various machine learning tasks include detecting pedestrians for self-driving cars, defining a new state-of-the-art in optical computing.
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Hui Cao "Nonlinear optical computing with linear wave scattering", Proc. SPIE PC13118, Emerging Topics in Artificial Intelligence (ETAI) 2024, PC131180U (4 October 2024); https://doi.org/10.1117/12.3027850
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KEYWORDS
Optical computing
Design
Object detection
Scattering
Associative arrays
Data compression
Laser scattering
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