Reservoir computing with dipole-coupled nanomagnets
Reservoir computing with dipole-coupled nanomagnets
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DOI：
10.7567/1347-4065/ab2406
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发表时间：
2019-07-01
影响因子：
1.5
通讯作者：
Suzuki, Yoshishige
中科院分区：
文献类型：
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作者：
Nomura, Hikaru;Furuta, Taishi;Suzuki, Yoshishige
利用0 K下的微磁模拟证明了基于偶极耦合纳米磁体的储层计算的可行性。纳米磁体的静态磁化方向被用作储层状态。为了更新这些状态，我们根据一位顺序输入信号改变一个纳米磁体的磁化强度。我们还使用电压引起的磁各向异性变化来改变其他纳米磁体的单轴各向异性，以促进信息流、存储和线性/非线性计算。结果发现，储层计算输出矩阵可训练以执行 AND/OR/XOR 运算，输入延迟最多为三位。 (C) 2019 日本应用物理学会
The feasibility of reservoir computing based on dipole-coupled nanomagnets is demonstrated using micro-magnetic simulations at 0 K. The static-magnetization directions of the nanomagnets are used as reservoir states. To update these states, we change the magnetization of one nanomagnet according to a single-bit-sequential input signal. We also change the uniaxial-anisotropy of the other nanomagnets using a voltage-induced magnetic anisotropy change to facilitate the flow of information, storage, and linear/nonlinear calculations. As a result, the reservoir computing output matrix was found to be trainable to perform AND/OR/XOR operations with an input delay of up to three bits. (C) 2019 The Japan Society of Applied Physics