Neural-network based approach to optimize THz computer generated holograms




neural networks, synthetic holography, diffractive optical elements, terahertz


Terahertz (THz) optics often encounters the problem of small f number values (elements have relatively small diameters comparing to focal lengths). The need to redirect the THz beam out of the optical axis or form particular intensity distributions resulted in the application of iterative holographic methods to design THz diffractive elements. Elements working on-axis do not encounter significant improvement while using iterative holographic methods, however, for more complicated distributions the difference becomes meaningful. Here, we propose a totally different approach to design THz holograms, utilizing a neural network based algorithm, suitable also for complicated distributions.

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How to Cite

M. Surma, M. Kaluza, P. Czerwińska, P. Komorowski, and A. Siemion, “Neural-network based approach to optimize THz computer generated holograms”, Photonics Lett. Pol., vol. 13, no. 4, pp. 88–90, Dec. 2021.