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Nanophotonics Based Residue Number System

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Abstract

Here we design a nanophotonic RNS arithmetic by spatially shifting the input waveguides relative to the routers’ outputs, where the moduli are represented by the number of waveguides under 10’s ps computational execution time, which can be used for functional analysis of convolutional neural networks.

© 2019 The Author(s)

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