17 citations · 28 across the 11 of their papers we have counts for
11 papers
Coherence influx is indispensable for quantum reservoir computing
Shumpei Kobayashi, Quoc Hoan Tran, Kohei Nakajima
Echo state property (ESP) is a fundamental property that allows an input-driven dynamical system to perform information processing tasks. Recently, extensions of ESP to potentially…
Gradient-based optimization of spintronic devices
Yusuke Imai, Shuhong Liu, Nozomi Akashi +1
The optimization of physical parameters serves various purposes, such as system identification and efficiency in developing devices. Spin-torque oscillators have been applied to ne…
Training Spiking Neural Networks via Augmented Direct Feedback Alignment
Yongbo Zhang, Katsuma Inoue, Mitsumasa Nakajima +3
Spiking neural networks (SNNs), the models inspired by the mechanisms of real neurons in the brain, transmit and represent information by employing discrete action potentials or sp…
Informational Embodiment: Computational role of information structure in codes and robots
Alexandre Pitti, Kohei Nakajima, Yasuo Kuniyoshi
The body morphology plays an important role in the way information is perceived and processed by an agent. We address an information theory (IT) account on how the precision of sen…
Quantum reservoir computing with repeated measurements on superconducting devices
Toshiki Yasuda, Yudai Suzuki, Tomoyuki Kubota +6
Reservoir computing is a machine learning framework that uses artificial or physical dissipative dynamics to predict time-series data using nonlinearity and memory properties of dy…
Computational capability for physical reservoir computing using a spin-torque oscillator with two free layers
Terufumi Yamaguchi, Sumito Tsunegi, Kohei Nakajima +1
A numerical analysis on the computational capability of physical reservoir computing utilizing a spin-torque oscillator with two free layers is reported. Conventional spintronics d…