基于fft的卷积神经网络在硅光子平台上的应用

2022 IEEE Photonics Conference (IPC) Pub Date : 2022-11-01 DOI:10.1109/IPC53466.2022.9975735

N. Peserico, Russell L. T. Schwartz, Hangbo Yang, Xiaoxuan Ma, M. Hosseini, Puneet Gupta, H. Dalir, V. Sorger

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引用次数: 1

摘要

我们提出了一个基于fft的片上光学卷积神经网络的实现。通过利用硅光子学的集成能力，我们可以将高速光学FFT集成到单个光子集成电路(PIC)中，显示设计，封装和初步结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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FFT-based Convolution Neural Network on Silicon Photonics Platform

We present our implementation of an on-chip FFT-based optical Convolution Neural Network. By exploiting the integration capabilities of Silicon Photonics, we can integrate high-speed optical FFT into a single Photonic Integrated Circuit (PIC), showing design, packaging, and initial results.

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2022 IEEE Photonics Conference (IPC)

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