Magnetic field-free stochastic computing based on the voltage-controlled magnetic tunnel junction

The stochastic computing (SC) has been proven to be an energy-efficient way to perform neural network. In this study, we propose a field-free voltage-controlled spintronics SC system based on the magnetic tunnel junction (MTJ). We observe a stochastic switching behavior of the MTJ and that it could...

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Veröffentlicht in:Applied physics letters 2024-05, Vol.124 (21)
Hauptverfasser: Luo, Yanxiang, Wu, Yuxuan, Zeng, Kexin, Zhang, Like, Liu, Shuhui, Luo, Renjuan, Luo, Yawen, Zhang, Xuan, Fang, Bin, Zhou, Yan, Zeng, Zhongming
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Sprache:eng
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Zusammenfassung:The stochastic computing (SC) has been proven to be an energy-efficient way to perform neural network. In this study, we propose a field-free voltage-controlled spintronics SC system based on the magnetic tunnel junction (MTJ). We observe a stochastic switching behavior of the MTJ and that it could be controlled by the voltage applied on the device. The voltage-controlled stochastic switching behavior is used to encode numbers ranging from 0 to 1 into a series of random bit-streams in the SC system. Furthermore, the handwritten recognition task is performed on the MTJ-based SC system, achieving a 95% maximum accuracy, which is comparable with the floating-point based neural network. Our work provides inspiration for the energy-efficient neural network systems.
ISSN:0003-6951
1077-3118
DOI:10.1063/5.0202103