18 citations · 18 across the 6 of their papers we have counts for
6 papers
One-shot prediction of noise-induced bifurcations with reservoir computing
Nozomi Akashi, Takayuki Watanabe, Masato Hara +4
Dynamical systems can exhibit complex responses when noise is injected. In particular, dynamics can be qualitatively altered by dynamic noise, a phenomenon known as noise-induced b…
Memory Uncertainty Relation and Harmonic Memory in Random Recurrent Networks
Taichi Haruna, Kohei Nakajima
We present an inequality that bounds the short-term memory capability of dynamical systems from below. It can be interpreted as an uncertainty relation between a measure of short-t…
Optimal Memory Encoding Through Fluctuation-Response Structure
Lianxiang Cui, Kohei Nakajima, Kazuyuki Aihara
Physical reservoir computing exploits the intrinsic dynamics of physical systems for information processing, while keeping the internal dynamics fixed and training only linear read…
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…
Designing Chaotic Attractors: A Semi-supervised Approach
Tempei Kabayama, Yasuo Kuniyoshi, Kazuyuki Aihara +1
Chaotic dynamics are ubiquitous in nature and useful in engineering, but their geometric design can be challenging. Here, we propose a method using reservoir computing to generate…
Extending echo state property for quantum reservoir computing
Shumpei Kobayashi, Quoc Hoan Tran, Kohei Nakajima
The echo state property (ESP) represents a fundamental concept in the reservoir computing (RC) framework that ensures output-only training of reservoir networks by being agnostic t…