Search Results for author: Ryoichi Horisaki

Found 13 papers, 0 papers with code

Asymmetric leader-laggard cluster synchronization for collective decision-making with laser network

no code implementations5 Dec 2023 Shun Kotoku, Takatomo Mihana, André Röhm, Ryoichi Horisaki, Makoto Naruse

Photonic accelerators have recently attracted soaring interest, harnessing the ultimate nature of light for information processing.

Decision Making

Conflict-free joint decision by lag and zero-lag synchronization in laser network

no code implementations28 Jul 2023 Hisako Ito, Takatomo Mihana, Ryoichi Horisaki, Makoto Naruse

In this study, we explore the application of a laser network, acting as a photonic accelerator, to the competitive multi-armed bandit problem.

Collision Avoidance Decision Making

Asymmetric quantum decision-making

no code implementations3 May 2023 Honoka Shiratori, Hiroaki Shinkawa, André Röhm, Nicolas Chauvet, Etsuo Segawa, Jonathan Laurent, Guillaume Bachelier, Tomoki Yamagami, Ryoichi Horisaki, Makoto Naruse

Quantum processes can realize conflict-free joint decisions among two agents using the entanglement of photons or quantum interference of orbital angular momentum (OAM).

Decision Making Ethics

Bandit Algorithm Driven by a Classical Random Walk and a Quantum Walk

no code implementations20 Apr 2023 Tomoki Yamagami, Etsuo Segawa, Takatomo Mihana, André Röhm, Ryoichi Horisaki, Makoto Naruse

Quantum walks (QWs) have a property that classical random walks (RWs) do not possess -- the coexistence of linear spreading and localization -- and this property is utilized to implement various kinds of applications.

Effect of temporal resolution on the reproduction of chaotic dynamics via reservoir computing

no code implementations27 Jan 2023 Kohei Tsuchiyama, André Röhm, Takatomo Mihana, Ryoichi Horisaki, Makoto Naruse

In recent years, reservoir computing has expanded to new functions such as the autonomous generation of chaotic time series, as well as time series prediction and classification.

Time Series Time Series Prediction

Bandit approach to conflict-free multi-agent Q-learning in view of photonic implementation

no code implementations20 Dec 2022 Hiroaki Shinkawa, Nicolas Chauvet, André Röhm, Takatomo Mihana, Ryoichi Horisaki, Guillaume Bachelier, Makoto Naruse

In addition, we propose a multi-agent architecture in which agents are indirectly connected through quantum interference of light and quantum principles ensure the conflict-free property of state-action pair selections among agents.

Decision Making Multi-agent Reinforcement Learning +3

Optimal preference satisfaction for conflict-free joint decisions

no code implementations2 May 2022 Hiroaki Shinkawa, Nicolas Chauvet, Guillaume Bachelier, André Röhm, Ryoichi Horisaki, Makoto Naruse

Here, we theoretically derive conflict-free joint decision-making that can satisfy the probabilistic preferences of all individual players.

Decision Making

Single-shot blind deconvolution with coded aperture

no code implementations17 Jan 2022 Hideyuki Muneta, Ryoichi Horisaki, Yohei Nishizaki, Makoto Naruse, Jun Tanida

In this paper, we present a method for single-shot blind deconvolution incorporating a coded aperture (CA).

Conflict-free collective stochastic decision making by orbital angular momentum of photons through quantum interference

no code implementations2 Jul 2021 Takashi Amakasu, Nicolas Chauvet, Guillaume Bachelier, Serge Huant, Ryoichi Horisaki, Makoto Naruse

In recent cross-disciplinary studies involving both optics and computing, single-photon-based decision-making has been demonstrated by utilizing the wave-particle duality of light to solve multi-armed bandit problems.

Decision Making

Compressive dual-comb spectroscopy

no code implementations3 Jul 2020 Akira Kawai, Takahiro Kageyama, Ryoichi Horisaki, Takuro Ideguchi

Our numerical simulation shows a compression rate of more than 100 with 3% error in mole fraction estimation of mid-infrared (MIR) DCS of two molecular species in a broadband (~30 THz) and high resolution (~115 MHz) condition.

Compressive Sensing Data Compression

Use of Ghost Cytometry to Differentiate Cells with Similar Gross Morphologic Characteristics

no code implementations22 Mar 2019 Hiroaki Adachi, Yoko Kawamura, Keiji Nakagawa, Ryoichi Horisaki, Issei Sato, Satoko Yamaguchi, Katsuhito Fujiu, Kayo Waki, Hiroyuki Noji, Sadao Ota

Imaging flow cytometry shows significant potential for increasing our understanding of heterogeneous and complex life systems and is useful for biomedical applications.

General Classification

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