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Comparison of the similarity between two quantum images
Comparing the similarity between digital images is an important subroutine in various image processing algorithms. In this study, we present three quantum algorithms for comparing the similarity between two quantum images. These algorithms are applied to binary, grey and color images for the first t...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9095865/ https://www.ncbi.nlm.nih.gov/pubmed/35546614 http://dx.doi.org/10.1038/s41598-022-11863-9 |
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author | Liu, You-hang Qi, Zai-dong Liu, Qiang |
author_facet | Liu, You-hang Qi, Zai-dong Liu, Qiang |
author_sort | Liu, You-hang |
collection | PubMed |
description | Comparing the similarity between digital images is an important subroutine in various image processing algorithms. In this study, we present three quantum algorithms for comparing the similarity between two quantum images. These algorithms are applied to binary, grey and color images for the first time. Without considering the image preparation, the proposed algorithms achieve exponential acceleration than the existing quantum and classical methods in all three cases. At the end of this paper, an experiment based on the real quantum computer of IBMQ and simulations verify the effectiveness of the algorithms. |
format | Online Article Text |
id | pubmed-9095865 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-90958652022-05-13 Comparison of the similarity between two quantum images Liu, You-hang Qi, Zai-dong Liu, Qiang Sci Rep Article Comparing the similarity between digital images is an important subroutine in various image processing algorithms. In this study, we present three quantum algorithms for comparing the similarity between two quantum images. These algorithms are applied to binary, grey and color images for the first time. Without considering the image preparation, the proposed algorithms achieve exponential acceleration than the existing quantum and classical methods in all three cases. At the end of this paper, an experiment based on the real quantum computer of IBMQ and simulations verify the effectiveness of the algorithms. Nature Publishing Group UK 2022-05-11 /pmc/articles/PMC9095865/ /pubmed/35546614 http://dx.doi.org/10.1038/s41598-022-11863-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Liu, You-hang Qi, Zai-dong Liu, Qiang Comparison of the similarity between two quantum images |
title | Comparison of the similarity between two quantum images |
title_full | Comparison of the similarity between two quantum images |
title_fullStr | Comparison of the similarity between two quantum images |
title_full_unstemmed | Comparison of the similarity between two quantum images |
title_short | Comparison of the similarity between two quantum images |
title_sort | comparison of the similarity between two quantum images |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9095865/ https://www.ncbi.nlm.nih.gov/pubmed/35546614 http://dx.doi.org/10.1038/s41598-022-11863-9 |
work_keys_str_mv | AT liuyouhang comparisonofthesimilaritybetweentwoquantumimages AT qizaidong comparisonofthesimilaritybetweentwoquantumimages AT liuqiang comparisonofthesimilaritybetweentwoquantumimages |