English

Reservoir Computing on Spin-Torque Oscillator Array

Mesoscale and Nanoscale Physics 2019-09-27 v2 Disordered Systems and Neural Networks Applied Physics

Abstract

We numerically study reservoir computing on a spin-torque oscillator (STO) array, describing the magnetization dynamics of the STO array by a nonlinear oscillator model. The STOs exhibit synchronized oscillation due to coupling by magnetic dipolar fields. We show that reservoir computing can be performed using the synchronized oscillation state. The performance can be improved by increasing the number of STOs. The performance becomes highest at the boundary between the synchronized and disordered states. Using an STO array, we can achieve higher performance than that of an echo-state network with similar number of units. This result indicates that STO arrays are promising for hardware implementation of reservoir computing.

Keywords

Cite

@article{arxiv.1905.07937,
  title  = {Reservoir Computing on Spin-Torque Oscillator Array},
  author = {Taro Kanao and Hirofumi Suto and Koichi Mizushima and Hayato Goto and Tetsufumi Tanamoto and Tazumi Nagasawa},
  journal= {arXiv preprint arXiv:1905.07937},
  year   = {2019}
}

Comments

10 pages, 8 figures

R2 v1 2026-06-23T09:12:45.118Z