Zibo Hu, Russell L. T. Schwartz, Maria Solyanik-Gorgone, V. Sorger
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Training on System for Opto-Electrical Neural Network
Neural Networks have been proven successful in many fields. Optical systems show potential for high-speed low-power Neural Networks. However, optical alignment is very demanding for wavelength-level coherent systems. Here we present Training-on-System methods to learn the imperfectly aligned system to increase the system’s performance.