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*

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    25 Citations (Scopus)

    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.

    Original languageEnglish
    Article number6410
    JournalNature Communications
    Volume14
    Issue number1
    DOIs
    Publication statusPublished - Dec 2023

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