OAM-based diffractive all-optical classification
作者机构:University of CaliforniaElectrical and Computer Engineering DepartmentLos AngelesCaliforniaUnited States University of CaliforniaBioengineering DepartmentLos AngelesCaliforniaUnited States University of CaliforniaCalifornia NanoSystems Institute(CNSI)Los AngelesCaliforniaUnited States
出 版 物:《Advanced Photonics》 (先进光子学(英文))
年 卷 期:2024年第6卷第1期
页 面:6-7页
核心收录:
学科分类:070207[理学-光学] 07[理学] 08[工学] 0803[工学-光学工程] 0702[理学-物理学]
摘 要:Object classification is an important aspect of machine *** practices in object classification entail the digitization of object information followed by the application of digital algorithms such as deep neural *** execution of digital neural networks is power-consuming,and the throughput is *** existing von Neumann digital computing paradigm is also less suited for the implementation of highly parallel neural network architectures.^(1)