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 () and Shumin Xiao ()
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Feng Mei: Harbin Institute of Technology Shenzhen
Geyang Qu: Pengcheng Laboratory
Xinbo Sha: Harbin Institute of Technology Shenzhen
Jing Han: Harbin Institute of Technology Shenzhen
Moxin Yu: Harbin Institute of Technology Shenzhen
Hao Li: Harbin Institute of Technology Shenzhen
Qinmiao Chen: Harbin Institute of Technology Shenzhen
Ziheng Ji: Harbin Institute of Technology Shenzhen
Jincheng Ni: National University of Singapore
Cheng-Wei Qiu: National University of Singapore
Qinghai Song: Harbin Institute of Technology Shenzhen
Yuri Kivshar: Australian National University
Shumin Xiao: Harbin Institute of Technology Shenzhen

Nature Communications, 2023, vol. 14, issue 1, 1-6

Abstract: 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 LGp,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.

Date: 2023
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DOI: 10.1038/s41467-023-42137-1

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