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- Title
Cascaded metasurfaces for high-purity vortex generation.
- Authors
Mei, Feng; Qu, Geyang; Sha, Xinbo; Han, Jing; Yu, Moxin; Li, Hao; Chen, Qinmiao; Ji, Ziheng; Ni, Jincheng; Qiu, Cheng-Wei; Song, Qinghai; Kivshar, Yuri; Xiao, Shumin
- 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. The authors demonstrate an efficient way to generate high-purity vortex beams by applying optical neural networks to cascaded phase-only metasurfaces. Specifically, they present record-high-quality Laguerre-Gaussian (LGp,l) optical modes with polynomial orders p = 10 and l = 200 with purity in p, l and relative conversion efficiency of 96%, 85%, and 70%, respectively.
- Subjects
VECTOR beams; OPTICAL information processing; REFLECTANCE; LAGUERRE polynomials; OPTICAL vortices
- Publication
Nature Communications, 2023, Vol 14, Issue 1, p1
- ISSN
2041-1723
- Publication type
Article
- DOI
10.1038/s41467-023-42137-1