Design of task-specific optical systems using broadband diffractive neural networks

作     者：Yi Luo Deniz Mengu Nezih T.Yardimci Yair Rivenson Muhammed Veli Mona Jarrahi Aydogan Ozcan 

作者机构：Electrical and Computer Engineering DepartmentUniversity of California420 Westwood PlazaLos AngelesCA 90095USA Bioengineering DepartmentUniversity of CaliforniaLos AngelesCA 90095USA California NanoSystems InstituteUniversity of CaliforniaLos AngelesCA 90095USA Department of SurgeryDavid Geffen School of MedicineUniversity of CaliforniaLos AngelesCA 90095USA 

出 版 物：《Light(Science & Applications)》 (光（科学与应用)（英文版）)

年 卷 期：2019年第8卷第1期

页      面：124-137页

核心收录：

学科分类：0808[工学-电气工程] 080901[工学-物理电子学] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 080401[工学-精密仪器及机械] 0804[工学-仪器科学与技术] 0805[工学-材料科学与工程（可授工学、理学学位）] 0803[工学-光学工程] 0702[理学-物理学] 

基　　金：the support of Fujikura(Japan) 

主　　题：neural networks specific 

摘      要：Deep learning has been transformative in many fields,motivating the emergence of various optical computing *** optical network is a recently introduced optical computing framework that merges wave optics with deep-learning methods to design optical neural ***-based all-optical object recognition systems,designed through this framework and fabricated by 3D printing,have been reported to recognize handwritten digits and fashion products,demonstrating all-optical inference and generalization to sub-classes of *** previous diffractive approaches employed monochromatic coherent light as the illumination ***,we report a broadband diffractive optical neural network design that simultaneously processes a continuum of wavelengths generated by a temporally incoherent broadband source to all-optically perform a specific task learned using deep *** experimentally validated the success of this broadband diffractive neural network architecture by designing,fabricating and testing seven different multi-layer,diffractive optical systems that transform the optical wavefront generated by a broadband THz pulse to realize(1)a series of tuneable,single-passband and dual-passband spectral filters and(2)spatially controlled wavelength *** the native or engineered dispersion of various material systems with a deep-learning-based design strategy,broadband diffractive neural networks help us engineer the light–matter interaction in 3D,diverging from intuitive and analytical design methods to create taskspecific optical components that can all-optically perform deterministic tasks or statistical inference for optical machine learning.