420 citations · 1.5k across the 35 of their papers we have counts for
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Information Processing Capability of Soft Continuum Arms
Estefany A. Torres, Kohei Nakajima, Isuru S. Godage
Soft Continuum arms, such as trunk and tentacle robots, can be considered as the "dual" of traditional rigid-bodied robots in terms of manipulability, degrees of freedom, and compl…
Machine learning with controllable quantum dynamics of a nuclear spin ensemble in a solid
Makoto Negoro, Kosuke Mitarai, Keisuke Fujii +2
We experimentally demonstrate quantum machine learning using NMR based on a framework of quantum reservoir computing. Reservoir computing is for exploiting natural nonlinear dynami…
Macromagnetic simulation for reservoir computing utilizing spin dynamics in magnetic tunnel junctions
Taishi Furuta, Keisuke Fujii, Kohei Nakajima +4
The figures-of-merit for reservoir computing (RC), using spintronics devices called magnetic tunnel junctions (MTJs), are evaluated. RC is a type of recurrent neural network. The i…
Boosting computational power through spatial multiplexing in quantum reservoir computing
Kohei Nakajima, Keisuke Fujii, Makoto Negoro +2
Quantum reservoir computing provides a framework for exploiting the natural dynamics of quantum systems as a computational resource. It can implement real-time signal processing an…
Use of recurrent infomax to improve the memory capability of input-driven recurrent neural networks
Hisashi Iwade, Kohei Nakajima, Takuma Tanaka +1
The inherent transient dynamics of recurrent neural networks (RNNs) have been exploited as a computational resource in input-driven RNNs. However, the information processing capabi…