[9a-N106-1~11] FS.1 Focused Session "AI Electronics"

11:30 AM - 11:45 AM JST(2:30 AM - 2:45 AM UTC)Presentation by Applicant for JSAP Young Scientists Presentation Award

[9a-N106-10] Evaluation of Learning Performance in m-VSTO Reservoirs with Sequential Dual-Inputs

〇Kota Horizumi¹, Takahiro Chiba², Takashi Komine¹ (1.Ibaraki Univ., 2.Yamagata Univ.)

Keywords:

Physical reservoir computing,spin torque oscillator

Vortex spin-torque oscillators (VSTOs) are promising candidates for physical reservoir devices. Introducing an additional layer, the modified VSTO (m-VSTO) enables switching between periodic and chaotic dynamics simply by adjusting the drive current. In this study, we numerically investigate whether reservoir-learning performance can be enhanced by combining outputs obtained at two current levels that correspond to distinct dynamical regimes.