Year: 2025
Type: article
Abstract: In optical computing systems for image tasks, optical signals of image data are usually generated by signal modulators, whose speed limits computational performance.To address this, a framework of image memory that can permanently store the image and instantaneously generate its corresponding optical signals has been proposed.In this framework, an original image is sliced into non-overlapping sub-images, each of which contains 3 pixel × 3 pixel or 5 pixel × 5 pixel, and these subimages are respectively stored in storage units, which are nine-channel or 25-channel power splitters (PSs).The gray values of pixels in each sub-image are sequentially mapped to the light intensity of channels in each PS.These PSs are inversely designed by combining the adjoint method (AM) and the finite-difference frequency-domain method.Using this method, high-performance memory has been realized based on PSs, with a maximum 33.37 dB signal-to-noise ratio.Using multiobjective AM, the storage capacity has been doubled according to the working wavelengths.For example, two sub-images with pixels arranged as 'T' and 'L' shapes can be retrieved at 1310 and 1550 nm, respectively.This framework provides highly stable, non-volatile image storage, and instantaneous generation of optical signals for future all-optical computing systems.
Source: Chinese Optics Letters
Authors: Haoji Yang, Huiqin Wang, Nanrun Zhou, Zijing Zhang, Hua Zhang
Institution: Shanghai University of Engineering Science
Language: English
Field: Materials Science
Domain: Physical Sciences
Open Access status: bronze
Award: G920919730
OpenAlex ID: W7114902053