High capacity topological coding based on nested vortex knots and links

Ling-Jun Kong, Weixuan Zhang, Peng Li, Xuyue Guo, Jingfeng Zhang, Furong Zhang, Jianlin Zhao and Xiangdong Zhang ()
Additional contact information
Ling-Jun Kong: Beijing Institute of Technology
Weixuan Zhang: Beijing Institute of Technology
Peng Li: Northwestern Polytechnical University
Xuyue Guo: Northwestern Polytechnical University
Jingfeng Zhang: Beijing Institute of Technology
Furong Zhang: Beijing Institute of Technology
Jianlin Zhao: Northwestern Polytechnical University
Xiangdong Zhang: Beijing Institute of Technology

Nature Communications, 2022, vol. 13, issue 1, 1-8

Abstract: Abstract 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.

Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.nature.com/articles/s41467-022-30381-w Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-30381-w

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-022-30381-w

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().