Optical Realization of Wave-Based Analog Computing with Metamaterials

Recently, the study of analog optical computing raised renewed interest due to its natural advantages of parallel, high speed and low energy consumption over conventional digital counterpart, particularly in applications of big data and high-throughput image processing. The emergence of metamaterial...

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Main Authors: Kaiyang Cheng, Yuancheng Fan, Weixuan Zhang, Yubin Gong, Shen Fei, Hongqiang Li
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/11/1/141
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author Kaiyang Cheng
Yuancheng Fan
Weixuan Zhang
Yubin Gong
Shen Fei
Hongqiang Li
author_facet Kaiyang Cheng
Yuancheng Fan
Weixuan Zhang
Yubin Gong
Shen Fei
Hongqiang Li
author_sort Kaiyang Cheng
collection DOAJ
description Recently, the study of analog optical computing raised renewed interest due to its natural advantages of parallel, high speed and low energy consumption over conventional digital counterpart, particularly in applications of big data and high-throughput image processing. The emergence of metamaterials or metasurfaces in the last decades offered unprecedented opportunities to arbitrarily manipulate the light waves within subwavelength scale. Metamaterials and metasurfaces with freely controlled optical properties have accelerated the progress of wave-based analog computing and are emerging as a practical, easy-integration platform for optical analog computing. In this review, the recent progress of metamaterial-based spatial analog optical computing is briefly reviewed. We first survey the implementation of classical mathematical operations followed by two fundamental approaches (metasurface approach and Green’s function approach). Then, we discuss recent developments based on different physical mechanisms and the classical optical simulating of quantum algorithms are investigated, which may lead to a new way for high-efficiency signal processing by exploiting quantum behaviors. The challenges and future opportunities in the booming research field are discussed.
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spelling doaj.art-2bfc3212bb234938b785bef5bf2b59532023-11-21T02:34:33ZengMDPI AGApplied Sciences2076-34172020-12-0111114110.3390/app11010141Optical Realization of Wave-Based Analog Computing with MetamaterialsKaiyang Cheng0Yuancheng Fan1Weixuan Zhang2Yubin Gong3Shen Fei4Hongqiang Li5School of Electrical Engineering and Intelligentization, Dongguan University of Technology, Dongguan 523808, ChinaKey Laboratory of Light Field Manipulation and Information Perception, Ministry of Industry and Information Technology and School of Physical Science and Technology, Northwestern Polytechnical University, Xi’an 710129, ChinaBeijing Key Laboratory of Nanophotonics & Ultrafine Optoelectronic Systems, School of Physics, Beijing Institute of Technology, Beijing 100081, ChinaSchool of Electrical Engineering and Intelligentization, Dongguan University of Technology, Dongguan 523808, ChinaSchool of Electrical Engineering and Intelligentization, Dongguan University of Technology, Dongguan 523808, ChinaKey Laboratory of Advanced Micro-Structure Materials (MOE) and School of Physics Science and Engineering, Tongji University, Shanghai 200092, ChinaRecently, the study of analog optical computing raised renewed interest due to its natural advantages of parallel, high speed and low energy consumption over conventional digital counterpart, particularly in applications of big data and high-throughput image processing. The emergence of metamaterials or metasurfaces in the last decades offered unprecedented opportunities to arbitrarily manipulate the light waves within subwavelength scale. Metamaterials and metasurfaces with freely controlled optical properties have accelerated the progress of wave-based analog computing and are emerging as a practical, easy-integration platform for optical analog computing. In this review, the recent progress of metamaterial-based spatial analog optical computing is briefly reviewed. We first survey the implementation of classical mathematical operations followed by two fundamental approaches (metasurface approach and Green’s function approach). Then, we discuss recent developments based on different physical mechanisms and the classical optical simulating of quantum algorithms are investigated, which may lead to a new way for high-efficiency signal processing by exploiting quantum behaviors. The challenges and future opportunities in the booming research field are discussed.https://www.mdpi.com/2076-3417/11/1/141analog optical computingmetamaterialsmetasurfacesquantum algorithmedge detection
spellingShingle Kaiyang Cheng
Yuancheng Fan
Weixuan Zhang
Yubin Gong
Shen Fei
Hongqiang Li
Optical Realization of Wave-Based Analog Computing with Metamaterials
Applied Sciences
analog optical computing
metamaterials
metasurfaces
quantum algorithm
edge detection
title Optical Realization of Wave-Based Analog Computing with Metamaterials
title_full Optical Realization of Wave-Based Analog Computing with Metamaterials
title_fullStr Optical Realization of Wave-Based Analog Computing with Metamaterials
title_full_unstemmed Optical Realization of Wave-Based Analog Computing with Metamaterials
title_short Optical Realization of Wave-Based Analog Computing with Metamaterials
title_sort optical realization of wave based analog computing with metamaterials
topic analog optical computing
metamaterials
metasurfaces
quantum algorithm
edge detection
url https://www.mdpi.com/2076-3417/11/1/141
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AT yuanchengfan opticalrealizationofwavebasedanalogcomputingwithmetamaterials
AT weixuanzhang opticalrealizationofwavebasedanalogcomputingwithmetamaterials
AT yubingong opticalrealizationofwavebasedanalogcomputingwithmetamaterials
AT shenfei opticalrealizationofwavebasedanalogcomputingwithmetamaterials
AT hongqiangli opticalrealizationofwavebasedanalogcomputingwithmetamaterials