Photonic Neural Networks with Spatiotemporal Dynamics Paradigms of Computing and Implementation

Photonic Neural Networks with Spatiotemporal Dynamics Paradigms of Computing and Implementation

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This open access book presents an overview of recent advances in photonic neural networks with spatiotemporal dynamics. The computing and implementation paradigms presented in this book are outcomes of interdisciplinary studies by collaborative researchers from the three fields of nonlinear mathemat...

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Bibliographic Details
Other Authors: Suzuki, Hideyuki (Editor), Tanida, Jun (Editor), Hashimoto, Masanori (Editor)
Format: Electronic Book Chapter
Language:English
Published: Singapore Springer Nature 2024
Subjects:
Artificial intelligence
Mathematical modelling
Nonlinear science
photonic neural network
spatiotemporal dynamics
optical computing
nonlinear dynamics
fluorescence energy transfer
Ising machine
reservoir computing
Online Access:OAPEN Library: download the publication
OAPEN Library: description of the publication
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Description
Summary:This open access book presents an overview of recent advances in photonic neural networks with spatiotemporal dynamics. The computing and implementation paradigms presented in this book are outcomes of interdisciplinary studies by collaborative researchers from the three fields of nonlinear mathematical science, information photonics, and integrated systems engineering. This book offers novel multidisciplinary viewpoints on photonic neural networks, illustrating recent advances in three types of computing methodologies: fluorescence energy transfer computing, spatial-photonic spin system, and photonic reservoir computing. The book consists of four parts: Part I introduces the backgrounds of optical computing and neural network dynamics; Part II presents fluorescence energy transfer computing, a novel computing technology based on nanoscale networks of fluorescent particles; Parts III and IV review the models and implementation of spatial-photonic spin systems and photonic reservoir computing, respectively. These contents are beneficial to researchers in a broad range of fields, including information science, mathematical science, applied physics, and engineering, to better understand the novel computing concepts of photonic neural networks with spatiotemporal dynamics.
Physical Description:1 electronic resource (278 p.)
ISBN:978-981-99-5072-0
9789819950720
9789819950713
Access:Open Access

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