Search Results for author: Kazuya Okamura

Found 4 papers, 0 papers with code

Linear position measurements with minimum error-disturbance in each minimum uncertainty state

no code implementations23 Dec 2020 Kazuya Okamura

It is expected to construct measurements with minimum error-disturbance in a broader class of states in the future, which will lead to a new understanding of quantum limits, including uncertainty relations.

Quantum Physics

Entangled-photon decision maker

no code implementations12 Apr 2018 Nicolas Chauvet, David Jegouso, Benoît Boulanger, Hayato Saigo, Kazuya Okamura, Hirokazu Hori, Aurélien Drezet, Serge Huant, Guillaume Bachelier, Makoto Naruse

The competitive multi-armed bandit (CMAB) problem is related to social issues such as maximizing total social benefits while preserving equality among individuals by overcoming conflicts between individual decisions, which could seriously decrease social benefits.

Decision Making

Local reservoir model for choice-based learning

no code implementations12 Apr 2018 Makoto Naruse, Eiji Yamamoto, Takashi Nakao, Takuma Akimoto, Hayato Saigo, Kazuya Okamura, Izumi Ojima, Georg Northoff, Hirokazu Hori

Our proposed model is inspired by the viewpoint that a decision is affected by its local environment, which is referred to as a local reservoir.

Decision Making

Scalable photonic reinforcement learning by time-division multiplexing of laser chaos

no code implementations26 Mar 2018 Makoto Naruse, Takatomo Mihana, Hirokazu Hori, Hayato Saigo, Kazuya Okamura, Mikio Hasegawa, Atsushi Uchida

In this study, we demonstrated a scalable, pipelined principle of resolving the multi-armed bandit problem by introducing time-division multiplexing of chaotically oscillated ultrafast time-series.

Decision Making reinforcement-learning +3

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