7 citations · 17 across the 8 of their papers we have counts for
8 papers
Ensemble Reservoir Computing for Physical Systems
Yuma Nakamura, Tomoyuki Kubota, Yusuke Imai +3
Physical computing exploits unconventional physical substrates to overcome limitations such as the high energy consumption inherent in digital computation. However, intrinsic noise…
Memory Determines Learning Direction: A Theory of Gradient-Based Optimization in State Space Models
JingChuan Guan, Tomoyuki Kubota, Yasuo Kuniyoshi +1
State space models (SSMs) have gained attention by showing potential to outperform Transformers. However, previous studies have not sufficiently addressed the mechanisms underlying…
Reservoir Computing Generalized
Tomoyuki Kubota, Yusuke Imai, Sumito Tsunegi +1
A physical neural network (PNN) has both the strong potential to solve machine learning tasks and intrinsic physical properties, such as high-speed computation and energy efficienc…
How noise affects memory in linear recurrent networks
JingChuan Guan, Tomoyuki Kubota, Yasuo Kuniyoshi +1
The effects of noise on memory in a linear recurrent network are theoretically investigated. Memory is characterized by its ability to store previous inputs in its instantaneous st…
Quantum reservoir computing with repeated measurements on superconducting devices
Toshiki Yasuda, Yudai Suzuki, Tomoyuki Kubota +8
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…
Self-Organized Criticality Explains Readiness Potential
Katsushi Kagaya, Tomoyuki Kubota, Kohei Nakajima
Readiness potential is a widely observed brain activity in several species including crayfish before the spontaneous behavioral initiation. However, it is poorly understood how thi…
Quantum Noise-Induced Reservoir Computing
Tomoyuki Kubota, Yudai Suzuki, Shumpei Kobayashi +3
Quantum computing has been moving from a theoretical phase to practical one, presenting daunting challenges in implementing physical qubits, which are subjected to noises from the…
A Unifying Framework for Information Processing in Stochastically Driven Dynamical Systems
Tomoyuki Kubota, Hirokazu Takahashi, Kohei Nakajima
A dynamical system can be regarded as an information processing apparatus that encodes input streams from the external environment to its state and processes them through state tra…