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High capacity topological coding based on nested vortex knots and links

delete2022-05-16
delete36
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OA
AI
L
Ling‐Jun Kong
张蔚暄 (Weixuan Zhang)
P
Peng Li
X
Xuyue Guo
J
Jingfeng Zhang
张福荣 cover
张福荣 (Furong Zhang)
J
Jianlin Zhao
张向东 (Xiangdong Zhang) *
DOI:10.1038/s41467-022-30381-wdelete
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Abstract

Abstract

En 中文
Robust and high capacity optical coding will be at the base of future developments of information transfer and storage. Here the authors develop a topological all-optical coding scheme, which possesses good stability and a high capacity, using nested vortex knots and links. Optical knots and links have attracted great attention because of their exotic topological characteristics. Recent investigations have shown that the information encoding based on optical knots could possess robust features against external perturbations. However, as a superior coding scheme, it is also necessary to achieve a high capacity, which is hard to be fulfilled by existing knot-carriers owing to the limit number of associated topological invariants. Thus, how to realize the knot-based information coding with a high capacity is a key problem to be solved. Here, we create a type of nested vortex knot, and show that it can be used to fulfill the robust information coding with a high capacity assisted by a large number of intrinsic topological invariants. In experiments, we design and fabricate metasurface holograms to generate light fields sustaining different kinds of nested vortex links. Furthermore, we verify the feasibility of the high-capacity coding scheme based on those topological optical knots. Our work opens another way to realize the robust and high-capacity optical coding, which may have useful impacts on the field of information transfer and storage.
Keywords:
MOLECULAR KNOT
BEAMS
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Journal

Nature Communications cover
Nature Communications
IF:
15.7
Papers:
9.3W
Citations:
91.2W

Organization

B
beijing institute of technology
Scholars:
5.5W
Papers: 4.0W
Citations: 63
N
Northwestern Polytechnical University
Scholars:
4.6W
Papers: 3.7W
Citations: 5.3W