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Related Experiment Video

Updated: Jun 5, 2025

The Generation of Higher-order Laguerre-Gauss Optical Beams for High-precision Interferometry
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Vector vortex beams sorting of 120 modes in visible spectrum.

Qi Jia1, Yanxia Zhang1, Bojian Shi1

  • 1Institute of Advanced Photonics, School of Physics, Harbin Institute of Technology, Harbin 150001, China.

Nanophotonics (Berlin, Germany)
|December 5, 2024
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Summary

Researchers developed a novel diffractive deep neural network (D2NN) beam sorter. This device efficiently sorts vector vortex beams by polarization, angular, and radius indices simultaneously.

Keywords:
mode demultiplexingoptical neural networkvector vortex beam

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Area of Science:

  • Optics and Photonics
  • Artificial Intelligence in Optics

Background:

  • Vector vortex beams possess three degrees of freedom: polarization (P), angular index (l), and radius index (p).
  • Efficient sorting of individual degrees of freedom is established, but simultaneous sorting remains a significant challenge.
  • Applications span optical manipulation, communication, and imaging.

Purpose of the Study:

  • To propose and experimentally demonstrate a compact and efficient beam sorter capable of simultaneously handling all three degrees of freedom of vector vortex beams.
  • To leverage diffractive deep neural networks (D2NNs) for advanced optical field manipulation.

Main Methods:

  • Development of a novel beam sorter based on a diffractive deep neural network (D2NN).
  • Experimental demonstration of the D2NN beam sorter in the visible spectrum.
  • Utilizing the D2NN to sort vector vortex beams based on polarization, angular, and radius indices.

Main Results:

  • Successful and robust simultaneous sorting of 120 distinct Laguerre-Gaussian (LG) modes.
  • Demonstration of the D2NN's capability for complex optical field sorting.
  • Validation of the proposed method in the visible light spectrum.

Conclusions:

  • The proposed D2NN-based beam sorter offers a compact and efficient solution for simultaneous sorting of multiple degrees of freedom in vector vortex beams.
  • Diffractive deep neural networks show significant potential for advanced optical field manipulation.
  • This technology can enhance diverse applications of vector vortex beams.