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4 March 2019 Reinforcement learning in a large-scale photonic network (Conference Presentation)
Daniel Brunner, Sheler Maktoobi, Louis Andreoli, Laurent Larger, Maxime Jacquot, Ingo Fischer, Julian Bueno
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Proceedings Volume 10937, Optical Data Science II; 1093708 (2019) https://doi.org/10.1117/12.2509351
Event: SPIE OPTO, 2019, San Francisco, California, United States
Abstract
We experimentally create a neural network via a spatial light modulator, implementing connections between 2025 in parallel based on diffractive coupling. We numerically validate the scheme for at least 34.000 photonic neurons. Based on a digital micro-mirror array we demonstrate photonic reinforcement learning and predict a chaotic time-series via our optical neural network. The prediction error efficiently converges. Finally, we give insight based on the first investigation of effects to be encountered in neural networks physically implemented in analogue substrates.
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Daniel Brunner, Sheler Maktoobi, Louis Andreoli, Laurent Larger, Maxime Jacquot, Ingo Fischer, and Julian Bueno "Reinforcement learning in a large-scale photonic network (Conference Presentation)", Proc. SPIE 10937, Optical Data Science II, 1093708 (4 March 2019); https://doi.org/10.1117/12.2509351
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KEYWORDS
Neural networks
Micromirrors
Neurons
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