Maqola

Quantum Image Processing and Its Application to Edge Detection: Theory and Experiment

Xiwei YaoDepartment of Electronic Science, College of Physical Science and Technology, Xiamen University, Xiamen, Fujian 361005, ChinaHengyan WangCAS Key Laboratory of Microscale Magnetic Resonance and Department of Modern Physics, University of Science and Technology of China, Hefei, Anhui 230026, ChinaZeyang LiaoInstitute for Quantum Science and Engineering (IQSE) and Department of Physics and Astronomy, Texas A&M University, College Station, Texas 77843-4242, USAMing-Cheng ChenHefei National Laboratory for Physical Sciences at Microscale and Department of Modern Physics, University of Science and Technology of China, Hefei, Anhui 230026, ChinaJian PanCAS Key Laboratory of Microscale Magnetic Resonance and Department of Modern Physics, University of Science and Technology of China, Hefei, Anhui 230026, ChinaJun LiBeijing Computational Science Research Center, Beijing 100193, ChinaKechao ZhangInstitute of Theoretical PhysicsXingcheng LinRice University‪Zhehui WangSchool of Mathematical Sciences, Peking University, Beijing 100871, ChinaZhihuang LuoBeijing Computational Science Research Center, Beijing 100193, ChinaWenqiang ZhengCenter for Optics and Optoelectronics Research, College of Science, Zhejiang University of Technology, Hangzhou, Zhejiang 310023, ChinaJianzhong LiCollege of mathematics and statistics, Hanshan Normal University, Chaozhou, Guangdong 521041, ChinaMeisheng ZhaoShandong Institute of Quantum Science and Technology, Co., Ltd., Jinan, Shandong 250101, ChinaXinhua PengSynergetic Innovation Center of Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei, Anhui 230026, ChinaDieter SuterFakultät Physik, Technische Universität Dortmund, D-44221 Dortmund, Germany

2017en

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Litsenziya: cc-by

ABI

Annotatsiya

Analysis of the large amounts of image data requires increasingly expensive and time-consuming computational resources. Quantum computing may offer a shortcut. A new edge-detection algorithm based on a specific quantum image representation shows exponentially faster performance compared to classical methods.

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Identifikatorlar

DOI: 10.1103/physrevx.7.031041

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