Experimental realization of convolution processing in photonic synthetic frequency dimensions.

ABSTRACT: Convolution is an essential operation in signal and image processing and consumes most of the computing power in convolutional neural networks. Photonic convolution has the promise of addressing computational bottlenecks and outperforming electronic implementations. Performing photonic convolution in the synthetic frequency dimension, which harnesses the dynamics of light in the spectral degrees of freedom for photons, can lead to highly compact devices. Here, we experimentally realize convolution operations in the synthetic frequency dimension. Using a modulated ring resonator, we synthesize arbitrary convolution kernels using a predetermined modulation waveform with high accuracy. We demonstrate the convolution computation between input frequency combs and synthesized kernels. We also in

SUBMITTER: Fan L 

PROVIDER: S-EPMC10421045 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature