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Optoelectronic Neuromorphic Accelerator at 523.27 GOPS Based on Coherent Optical Devices

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Abstract

An integratable and scalable optoelectronic neuromorphic accelerator based on coherent optical devices is proposed and demonstrated. It can achieve the computing speed for convolutions of 523.27 GOPS and accuracy up to 96.67% for handwritten digit recognition as a neural network.

© 2023 The Author(s)

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