activity
20072023
most citedRecommendations and illustrations for the evaluation of photonic random number generators

75 citations · 176 across the 19 of their papers we have counts for

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Showing 2022Show all

6 papers · 1 filter

physics.optics2022★ 12 cited

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…

cs.ET2022

Parallel photonic accelerator for decision making using optical spatiotemporal chaos

Kensei Morijiri, Kento Takehana, Takatomo Mihana +3

Photonic accelerators have attracted increasing attention in artificial intelligence applications. The multi-armed bandit problem is a fundamental problem of decision making using…

physics.optics2022★ 4 cited

Analysis of temporal structure of laser chaos by Allan variance

Naoki Asuke, Nicolas Chauvet, André Röhm +6

Allan variance has been widely utilized in evaluating the stability of the time series generated by atomic clocks and lasers, in time regimes ranging from short to extremely long.…

cs.ET2022

Parallel bandit architecture based on laser chaos for reinforcement learning

Takashi Urushibara, Nicolas Chauvet, Satoshi Kochi +5

Accelerating artificial intelligence by photonics is an active field of study aiming to exploit the unique properties of photons. Reinforcement learning is an important branch of m…

physics.optics2022

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…

cs.ET2022★ 1 cited

Photonic reinforcement learning based on optoelectronic reservoir computing

Kazutaka Kanno, Atsushi Uchida

Reinforcement learning has been intensively investigated and developed in artificial intelligence in the absence of training data, such as autonomous driving vehicles, robot contro…