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Performing photonic nonlinear computations by linear operations in a high-dimensional space

Authors :
Zhang Wenkai
Gu Wentao
Cheng Junwei
Huang Dongmei
Cheng Zihao
Wai Ping-kong Alexander
Zhou Hailong
Dong Jianji
Zhang Xinliang
Source :
Nanophotonics, Vol 12, Iss 15, Pp 3189-3197 (2023)
Publication Year :
2023
Publisher :
De Gruyter, 2023.

Abstract

As photonic linear computations are diverse and easy to realize while photonic nonlinear computations are relatively limited and difficult, we propose a novel way to perform photonic nonlinear computations by linear operations in a high-dimensional space, which can achieve many nonlinear functions different from existing optical methods. As a practical application, the arbitrary binary nonlinear computations between two Boolean signals are demonstrated to implement a programmable logic array. In the experiment, by programming the high-dimensional photonic matrix multiplier, we execute fourteen different logic operations with only one fixed nonlinear operation. Then the combined logic functions of half-adder and comparator are demonstrated at 10 Gbit/s. Compared with current methods, the proposed scheme simplifies the devices and the nonlinear operations for programmable logic computing. More importantly, nonlinear realization assisted by space transformation offers a new solution for optical digital computing and enriches the diversity of photonic nonlinear computing.

Details

Language :
English
ISSN :
21928614
Volume :
12
Issue :
15
Database :
Directory of Open Access Journals
Journal :
Nanophotonics
Publication Type :
Academic Journal
Accession number :
edsdoj.b985331ca18e4246ba8ddb8ea32e9bb8
Document Type :
article
Full Text :
https://doi.org/10.1515/nanoph-2023-0234