Physical reservoir computing based on spin torque oscillator with forced synchronization

By S. Tsunegi, Tomohiro Taniguchi, Kohei Nakajima, S. Miwa, K. Yakushiji, Akio Fukushima, Shinji Yuasa, H. Kubota. Applied Physics Letters, 2019

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We investigated physical reservoir computing (RC) using a vortex-type spin torque oscillator (STO) as a resource of nonlinear dynamics, which is essential for processing information in time-series data. Forced synchronization was used to suppress the thermal fluctuation of the oscillation trajectory of the STO. We examined the memory property of the STO dynamics, called short-term memory (STM), by using a virtual node technique. The STM capacity increased about twofold compared with that obtained without forced synchronization. The performance index for the nonlinear transformation of the STO also increased; it was evaluated in a parity-check task. The results prove that the synchronized STO has great potential for physical RC based on nanotechnology.

Subfields: Artificial Intelligence, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/ccb1376244b660b5cbd081f18c3a0b758cdf7c8a