Nonlinear co-generation of graphene plasmons for optoelectronic logic operations

Yiwei Li, Ning An, Zheyi Lu, Yuchen Wang, Bing Chang, Teng Tan, Xuhan Guo, Xizhen Xu, Jun He, Handing Xia, Zhaohui Wu, Yikai Su, Yuan Liu (), Yunjiang Rao (), Giancarlo Soavi () and Baicheng Yao ()
Additional contact information
Yiwei Li: University of Electronic Science and Technology of China
Ning An: University of Electronic Science and Technology of China
Zheyi Lu: Hunan University
Yuchen Wang: University of Electronic Science and Technology of China
Bing Chang: University of Electronic Science and Technology of China
Teng Tan: University of Electronic Science and Technology of China
Xuhan Guo: Shanghai Jiao Tong University
Xizhen Xu: Shenzhen University
Jun He: Shenzhen University
Handing Xia: China Academic of Engineering Physics
Zhaohui Wu: China Academic of Engineering Physics
Yikai Su: Shanghai Jiao Tong University
Yuan Liu: Hunan University
Yunjiang Rao: University of Electronic Science and Technology of China
Giancarlo Soavi: Friedrich Schiller University Jena
Baicheng Yao: University of Electronic Science and Technology of China

Nature Communications, 2022, vol. 13, issue 1, 1-7

Abstract: Abstract Surface plasmons in graphene provide a compelling strategy for advanced photonic technologies thanks to their tight confinement, fast response and tunability. Recent advances in the field of all-optical generation of graphene’s plasmons in planar waveguides offer a promising method for high-speed signal processing in nanoscale integrated optoelectronic devices. Here, we use two counter propagating frequency combs with temporally synchronized pulses to demonstrate deterministic all-optical generation and electrical control of multiple plasmon polaritons, excited via difference frequency generation (DFG). Electrical tuning of a hybrid graphene-fibre device offers a precise control over the DFG phase-matching, leading to tunable responses of the graphene’s plasmons at different frequencies across a broadband (0 ~ 50 THz) and provides a powerful tool for high-speed logic operations. Our results offer insights for plasmonics on hybrid photonic devices based on layered materials and pave the way to high-speed integrated optoelectronic computing circuits.

Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.nature.com/articles/s41467-022-30901-8 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_s41467-022-30901-8

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

DOI: 10.1038/s41467-022-30901-8

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 ().