Hybrid Design of Diffractive Optical Elements Using the Supporting Quadric Method

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.

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Publication Details

Journal
Optical Memory and Neural Networks
Published
2025-12-01
DOI
https://doi.org/10.3103/s1060992x25602404
Primary Topic
Advanced optical system design
Type
article
Field-Weighted Citation Impact
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article

Hybrid Design of Diffractive Optical Elements Using the Supporting Quadric Method

Evgeni A. Bezus, N. L. Kazanskiy, D. Bykov, D. Soshnikov et al.
Optical Memory and Neural Networks
Advanced optical system design
article

Hybrid Design of Diffractive Optical Elements Using the Supporting Quadric Method

Evgeni A. Bezus, N. L. Kazanskiy, D. Bykov, D. Soshnikov, L. Doskolovich, A. Mingazov
article en

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.

Optical Memory and Neural NetworksVol. 34(S3)
Kurchatov Institute (RU), Samara National Research University (RU), Image Processing Systems Institute (RU)
Sustainable cities and communities
Openalex Percentile: Top 37%
Advanced optical system design
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