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arXiv 2603.01351cond-mat.mes-hallcond-mat.mtrl-scinlin.CDphysics.app-phphysics.comp-ph

基于带修改自由层的涡旋自旋扭矩振荡器的物理共振学习性能评估

Learning-Performance Evaluation of a Physical Reservoir Based on a Vortex Spin-Torque Oscillator with a Modified Free Layer

Ibaraki University(茨城大学);Yamagata University(山形大学);Tohoku University(东北大学)

Kota Horizumi, Takahiro Chiba, Takashi Komine

AI总结:

本研究评估了带修改自由层的涡旋自旋扭矩振荡器在物理共振计算中的学习性能,发现其在低功耗下可实现更高的信息处理能力。

摘要:

在本研究中,我们数值评估了在物理共振计算中,一种带有修改自由层的涡旋自旋扭矩振荡器(称为修改涡旋自旋扭矩振荡器,m-VSTO)的学习性能。该m-VSTO在自由层上堆叠了一个半径较小的额外层(AL),通过泰利方程计算涡旋核的动力学,该方程考虑了AL引起的潜在变形。我们通过最大李雅普诺夫指数确定了混沌边缘,并量化了时间复用共振方案中的短期记忆容量(STMC)以及信息处理能力(IPC)。我们发现,在低于传统VSTO阈值电流的低电流和低场 regime 中,m-VSTO表现出有限的STMC和IPC,并且可以达到约两倍的IPC,同时仅消耗四分之一的功率。此外,当输入脉冲宽度设置为与或大于暂态时间时,具有高STMC和IPC的参数区域扩大,最佳工作区域不位于混沌边缘,而是在具有长暂态的稳定区域。这些结果表明,工程潜在景观和驱动条件能够实现低功耗的自旋电子物理共振器。

英文摘要:

In this study, we numerically evaluate the learning performance of a vortex spin-torque oscillator (VSTO) with a modified free layer, called a modified VSTO (m-VSTO), in which an additional layer (AL) of smaller radius is stacked on the free layer, for physical reservoir computing. The vortex-core dynamics are computed using the Thiele equation incorporating the potential deformation induced by the AL. We identify the edge of chaos from the maximal Lyapunov exponent and quantify the short-term memory capacity (STMC) as well as the information processing capacity (IPC) in a time-multiplexed reservoir scheme. We find that the m-VSTO exhibits finite STMC and IPC in a low-current and low-field regime below the threshold current of the conventional VSTO, and can achieve up to approximately twice the IPC with about one quarter of the power consumption. The pulse-width dependence of the IPC can be further interpreted by combining an analytical estimate of the transient time with Lyapunov-exponent data. Longer pulse widths promote stronger recovery-induced contraction toward the groove-trapped orbit over a wide range of subthreshold currents. In contrast, this difference in contraction rate becomes less pronounced near the threshold current, where the transient time increases rapidly. Consequently, the IPC is enhanced in a stable regime with a negative Lyapunov exponent rather than exactly at the edge of chaos. These results suggest that engineering the potential landscape and pulse-width-dependent recovery dynamics enables low-power spintronic physical reservoirs.

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