Proposal of Film-penetrating Transducers for a Spin-wave Reservoir Computing Chip

被引:0
|
作者
Chen, Jiaxuan [1 ]
Nakane, Ryosho [1 ]
Tanaka, Gouhei [2 ]
Hirose, Akira [1 ]
机构
[1] Univ Tokyo, Dept EE & Info Sys, Tokyo, Japan
[2] Univ Tokyo, IRCN, Tokyo, Japan
来源
2022 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN) | 2022年
关键词
Physical reservoir computing; spin wave; reservoir computing hardware;
D O I
10.1109/IJCNN55064.2022.9892365
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
We propose a spin-wave antenna structure that penetrates a garnet film, which we named film-penetrating transducers (FPTs). FPTs possess a zero-dimensional feature that allows flexible placements and sufficient numbers of input/output electrodes for spin-wave reservoir computing. We first explain the structure and operation of FPTs. Then, we numerically construct and analyze a basic spin-wave reservoir chip model. We obtain intricate patterns of spin-wave propagation and interference that reflect the high dimensionality of the system. We also demonstrate the nonlinearity of the output electrical signal from an FPT detector of the system. Our results strongly suggest that FPTs preserve the important properties of a physical reservoir while ensuring large degrees of freedom for both the arrangements and amounts of spin-wave exciters and detectors.
引用
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页数:7
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