PhotoFourier: accelerating convolutional neural network by employing silicon photonics Fourier transform

Convolution Neural Networks are one of the most used networks for Machine Learning. But convolution operation is one of the most demanding operations for electronic units to perform. Here, we present the first integrated PhotoFourier chip, capable of performing Joint Correlation Transformation on a Silicon Photonic chip, reducing the computation complexity from O(N^2) to O(N) at GHz speed rate.