2020年第67回応用物理学会春季学術講演会

講演情報

一般セッション(口頭講演)

10 スピントロニクス・マグネティクス » 10.2 スピン基盤技術・萌芽的デバイス技術

[14a-A501-1~13] 10.2 スピン基盤技術・萌芽的デバイス技術

2020年3月14日(土) 09:00 〜 12:30 A501 (6-501)

好田 誠(東北大)、谷口 知大(産総研)

09:30 〜 09:45

[14a-A501-3] Simulation of reservoir computing using dipole-coupled nanomagnet array with different clocking frequency

〇(M1)Kazuki Tsujimoto1、Hikaru Nomura1,2、Yuki Kuwabiraki1、Ryoichi Nakatani1、Yoshishige Suzuki1,2 (1.Osaka Univ.、2.CSRN-Osaka)

キーワード:reservoir computing, nanomagnet, neural network

Neural network has made remarkable achievements in recent years. However, in general AI, higher performance requires more energy consumption. To reduce the energy consumption, reservoir computing using physical phenomenon for calculation has been reported. We have demonstrated simulation of reservoir computing using the stable magnetization state of dipole-coupled nanomagnet array. Besides, some group reported reservoir computing using spin torque oscillator. Therefore magnetization dynamic state of dipole-coupled nanomagnet array can be also useful for reservoir computing.
In this presentation, we demonstrate simulation of reservoir computing using dipole-coupled nanomagnet array with different clocking frequency. We set clocking frequency from hundred kHz order to GHz order, and investigate short-term memory capacity and parity check capacity of the reservoir.