12 citations · 18 across the 4 of their papers we have counts for
4 papers
Experimental control of mode-competition dynamics in a chaotic multimode semiconductor laser for decision making
Ryugo Iwami, Takatomo Mihana, Kazutaka Kanno +2
Photonic computing has been widely used to accelerate the computational performance in machine learning. Photonic decision-making is a promising approach that uses photonic computi…
Solving multi-armed bandit problems using a chaotic microresonator comb
Jonathan Cuevas, Ryugo Iwami, Atsushi Uchida +2
The Multi-Armed Bandit (MAB) problem, foundational to reinforcement learning-based decision-making, addresses the challenge of maximizing rewards amidst multiple uncertain choices.…
Chaotic mode-competition dynamics in a multimode semiconductor laser with optical feedback and injection
Ryugo Iwami, Kazutaka Kanno, Atsushi Uchida
Photonic computing is attracting increasing interest to accelerate information processing in machine learning applications. The mode-competition dynamics of multimode semiconductor…
Controlling chaotic itinerancy in laser dynamics for reinforcement learning
Ryugo Iwami, Takatomo Mihana, Kazutaka Kanno +3
Photonic artificial intelligence has attracted considerable interest in accelerating machine learning; however, the unique optical properties have not been fully utilized for achie…