Multiplexed metasurface optical neural networks

Abstract

The present disclosure provides a multiplexed metasurface optical neural network device including a plurality of metasurface layers that modify amplitude and phase of incident light and a detector that captures output images. The metasurface layers generate diverse output images in response to random input light intensity profiles through spatial multiplexing, with the random input light intensity profiles being derived from a standard Gaussian distribution representing latent variables in a generative model. A method of operating the device as a generative model includes projecting random input light intensity profiles onto metasurface layers, modifying amplitude and phase through spatial multiplexing, transforming the profiles into output images containing predetermined information through light propagation, and capturing the output images using a detector.

Dependencies are inferred from the claim text.