Recurrent neural networks made of magnetic tunnel junctions

Zheng, Qi1; Zhu, Xiaorui1; Mi, Yuanyuan2; Yuan, Zhe1,3; Xia, Ke1,3,4

2020

10.1063/1.5143382

AIP Advances   影响因子和分区

21583226

2158-3226

Artificial intelligence based on artificial neural networks, which are originally inspired by the biological architectures of the human brain, has mostly been realized using software but executed on conventional von Neumann computers, where the so-called von Neumann bottleneck essentially limits the executive efficiency due to the separate computing and storage units. Therefore, a suitable hardware platform that can exploit all the advantages of brain-inspired computing is highly desirable. Based upon micromagnetic simulation of the magnetization dynamics, we demonstrate theoretically and numerically that recurrent neural networks consisting of as few as 40 magnetic tunnel junctions can generate and recognize periodic time series after they are trained with an efficient algorithm.
© 2020 Author(s).

SCI ; EI

英语

其他

Beijing Nova Program[Z181100006218118]

Science & Technology - Other Topics ; Materials Science ; Physics

Nanoscience & Nanotechnology ; Materials Science, Multidisciplinary ; Physics, Applied

WOS:000514626000006

American Institute of Physics Inc.

20200808204111

Brain ; Magnetic devices ; Tunnel junctions

Biomedical Engineering:461.1

Web of Science

1.Center for Advanced Quantum Studies, Department of Physics, Beijing Normal University, Beijing; 100875, China
2.Center for Neurointelligence, Chongqing University, Chongqing; 400044, China
3.Center for Quantum Computing, Peng Cheng Laboratory, Shenzhen; 518005, China
4.Shenzhen Institute for Quantum Science and Engineering, Department of Physics, Southern University of Science and Technology, Shenzhen; 518055, China

Zheng, Qi,Zhu, Xiaorui,Mi, Yuanyuan,et al. Recurrent neural networks made of magnetic tunnel junctions[J]. AIP Advances,2020,10(2).

Zheng, Qi,Zhu, Xiaorui,Mi, Yuanyuan,Yuan, Zhe,&Xia, Ke.(2020).Recurrent neural networks made of magnetic tunnel junctions.AIP Advances,10(2).

Zheng, Qi,et al."Recurrent neural networks made of magnetic tunnel junctions".AIP Advances 10.2(2020).