Work

Photonics for computing and computing for photonics

Year: 2018

Type: article

Abstract: The liaison between photonics and computing is a pillar of modern optics and subject of cutting-edge research for more than half a century. As in many scientific disciplines, high-performance computational methods have become essential for describing, designing, interpreting and ultimately predicting an optical system’s behaviour, and today the wide availability of high-performance photonic components is testimony of how computing has boosted the field of photonics. At the same time, photonic architectures offer fascinating possibilities for carrying out computations scaling beyond today’s computing hardware. This establishes an almost uniquely reciprocal relationship between photonics and computing.

Source: Nanophotonics

DOI: 10.1515/nanoph-2020-0470

Authors: Daniel Brunner, Alireza Marandi, Wim Bogaerts, Aydogan Ozcan

Institutions: Centre National de la Recherche Scientifique, Franche-Comté Électronique Mécanique Thermique et Optique - Sciences et Technologies, Université Bourgogne Franche-Comté, California Institute of Technology, Ghent University, IMEC, University of California, Los Angeles

Language: English

Topic: Neural Networks and Reservoir Computing

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $2,995

OpenAlex ID: W3084094494

FWCI: 0.136

Cites: 23

Cited by: 13

Related to: 10