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Conferences > LS > 2022 > JW5A > JW5A.30

All-Analog Current Repeater for Scalable Photonic Neural Networks

James Garofolo and Ben Wu

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Abstract

We propose an all-analog current repeater for use in highly scalable Photonic neural networks. This circuit samples and indefinitely reproduces photodetector currents. It is fully parallelizable and compatible with constant value and spiking architectures.

© 2022 The Author(s)

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