A. Mingazov, D. Soshnikov, L. Doskolovich, D. Bykov, E. Bezus, N. Kazanskiy
{"title":"Hybrid Design of Diffractive Optical Elements Using the Supporting Quadric Method","authors":"A. Mingazov, D. Soshnikov, L. Doskolovich, D. Bykov, E. Bezus, N. Kazanskiy","doi":"10.3103/S1060992X25602404","DOIUrl":null,"url":null,"abstract":"<p>We consider the calculation of a diffractive optical element (DOE) generating a required intensity distribution in a given plane. For the calculation, we propose a version of the supporting quadric method widely used in similar geometrical optics problems. The method is based on minimizing the root-mean-square error in a certain class of functions using a gradient method and leads to a DOE with a quasi-regular surface relief. We derive explicit expressions for the gradient and Hessian of the root-mean-square error, which makes it possible to efficiently apply the gradient method and provides the theoretical basis for using the methods of the second order. The obtained theoretical results are illustrated by a DOE design example.</p>","PeriodicalId":721,"journal":{"name":"Optical Memory and Neural Networks","volume":"34 3","pages":"S556 - S568"},"PeriodicalIF":0.9000,"publicationDate":"2026-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Optical Memory and Neural Networks","FirstCategoryId":"1085","ListUrlMain":"https://link.springer.com/article/10.3103/S1060992X25602404","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"OPTICS","Score":null,"Total":0}
引用次数: 0
Abstract
We consider the calculation of a diffractive optical element (DOE) generating a required intensity distribution in a given plane. For the calculation, we propose a version of the supporting quadric method widely used in similar geometrical optics problems. The method is based on minimizing the root-mean-square error in a certain class of functions using a gradient method and leads to a DOE with a quasi-regular surface relief. We derive explicit expressions for the gradient and Hessian of the root-mean-square error, which makes it possible to efficiently apply the gradient method and provides the theoretical basis for using the methods of the second order. The obtained theoretical results are illustrated by a DOE design example.
期刊介绍:
The journal covers a wide range of issues in information optics such as optical memory, mechanisms for optical data recording and processing, photosensitive materials, optical, optoelectronic and holographic nanostructures, and many other related topics. Papers on memory systems using holographic and biological structures and concepts of brain operation are also included. The journal pays particular attention to research in the field of neural net systems that may lead to a new generation of computional technologies by endowing them with intelligence.