Physical reservoir computing based on spin torque oscillator with forced synchronization

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...

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Bibliographic Details
Published in:Applied physics letters 2019-04, Vol.114 (16)
Main Authors: Tsunegi, Sumito, Taniguchi, Tomohiro, Nakajima, Kohei, Miwa, Shinji, Yakushiji, Kay, Fukushima, Akio, Yuasa, Shinji, Kubota, Hitoshi
Format: Article
Language:English
Subjects:
Applied physics
Computation
Nanotechnology
Nonlinear dynamics
Performance indices
Short term
Synchronism
Time synchronization
Torque
Variation
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Summary: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.
ISSN:0003-6951
1077-3118
DOI:10.1063/1.5081797