Ultra-compact and low loss silicon-photonic rearrangeable non-blocking perfect shuffle-exchange network

被引:1
作者
Peng, Zheng [1 ,2 ]
Feng, Junbo [3 ]
Du, Te [2 ]
Ma, Hansi [2 ,4 ,5 ]
Cheng, Wei [1 ,2 ]
Wang, Yan [1 ,2 ]
Zang, Shengyin [1 ]
Cheng, Hao [1 ]
Ren, Xiaodong [1 ]
Shuai, Yubei [1 ]
Liu, Hao [1 ]
Wu, Jiagui [6 ]
Yang, Junbo [2 ]
机构
[1] Southwest Univ, Coll Artificial Intelligence, Chongqing 400715, Peoples R China
[2] Natl Univ Def Technol, Coll Liberal Arts & Sci, Changsha 410073, Peoples R China
[3] United Microelect Ctr Co Ltd, Chongqing 401332, Peoples R China
[4] Natl Univ Def Technol, Inst Quantum Informat, Changsha 410073, Peoples R China
[5] Natl Univ Def Technol, Coll Comp, State Key Lab High Performance Comp, Changsha 410073, Peoples R China
[6] Southwest Univ, Sch Phys Sci & Technol, Chongqing 400715, Peoples R China
来源
OPTIK | 2022年 / 269卷
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
Silicon photonic; Optical network -on -chip; Perfect shuffle -exchange network; Ultra; -compact; INVERSE DESIGN; OPTICAL SWITCH; PERFORMANCE;
D O I
10.1016/j.ijleo.2022.169884
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
The perfect shuffle-exchange network (PSEN) is a widely used optical network-on-chip topology. In this study, we designed a kind of rearrangeable and ultra-compact PSEN, which contains three ultra-compact components: left perfect shuffle, left inverse perfect shuffle, and 2 x 2 optical switch modules. They were then interconnected into a non-blocking 8 x 8 PSEN. The size of the entire optical PSEN module reaches only 8 mu m x 87.6 mu m approximate to 700 mu m2, which is approximately 1000 times smaller than existing optical network-on-chip (ONoC) architectures (usual mm2 level). When signals with different wavelengths are input into different channels, the highest insertion loss in the valuable C-band is - 1.1 dB, its lowest value is - 0.7 dB, the maximum insertion loss fluctuation is only 0.4 dB, and the average crosstalk is maintained at approximately - 28 dB. This PSEN could have wide applications in nanophotonics computation and nanophotonics networks.
引用
收藏
页数:11
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