期刊
APPLIED PHYSICS LETTERS
卷 114, 期 16, 页码 -出版社
AIP Publishing
DOI: 10.1063/1.5081797
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资金
- JSPS KAKENHI [JP18H18H03880]
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. Published under license by AIP Publishing.
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