Nature Communications (Oct 2023)

Cascaded metasurfaces for high-purity vortex generation

  • Feng Mei,
  • Geyang Qu,
  • Xinbo Sha,
  • Jing Han,
  • Moxin Yu,
  • Hao Li,
  • Qinmiao Chen,
  • Ziheng Ji,
  • Jincheng Ni,
  • Cheng-Wei Qiu,
  • Qinghai Song,
  • Yuri Kivshar,
  • Shumin Xiao

DOI
https://doi.org/10.1038/s41467-023-42137-1
Journal volume & issue
Vol. 14, no. 1
pp. 1 – 6

Abstract

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Abstract We introduce a new paradigm for generating high-purity vortex beams with metasurfaces. By applying optical neural networks to a system of cascaded phase-only metasurfaces, we demonstrate the efficient generation of high-quality Laguerre-Gaussian (LG) vortex modes. Our approach is based on two metasurfaces where one metasurface redistributes the intensity profile of light in accord with Rayleigh-Sommerfeld diffraction rules, and then the second metasurface matches the required phases for the vortex beams. Consequently, we generate high-purity LG p,l optical modes with record-high Laguerre polynomial orders p = 10 and l = 200, and with the purity in p, l and relative conversion efficiency as 96.71%, 85.47%, and 70.48%, respectively. Our engineered cascaded metasurfaces suppress greatly the backward reflection with a ratio exceeding −17 dB. Such higher-order optical vortices with multiple orthogonal states can revolutionize next-generation optical information processing.