Ultrafast farfield simulation of non-paraxial computer generated holograms

The simulation of large-area diffractive optical elements (DOEs) is challenging when non-paraxial propagation and coupling effects between neighboring structures shall be considered. We developed a novel method for the farfield simulation of DOEs, especially computer-generated holograms (CGHs) with lateral feature sizes in the wavelength range. It uses a machine learning approach to predict the optical function based on geometry parameters. Therefore, training data are calculated by physical simulation methods to create a linear regression model. With the trained model a very fast computation of the farfield is possible with high contbrmity to results of rigorous methods. (C) 2022 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement

Automated summary

A novel method for simulating the farfield of large-area diffractive optical elements (DOEs), particularly computer-generated holograms (CGHs), with lateral feature sizes in the wavelength range, is developed using a machine learning approach. The method predicts the optical function based on geometry parameters and achieves high consistency with results from rigorous methods.