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Experimentally Demonstrate the Spin-1 Information Entropic Inequality Based on Simulated Photonic Qutrit States
Quantum correlations of higher-dimensional systems are an important content of quantum information theory and quantum information application. The quantification of quantum correlation of high-dimensional quantum systems is crucial, but difficult. In this paper, using the second-order nonlinear opti...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7516650/ https://www.ncbi.nlm.nih.gov/pubmed/33285993 http://dx.doi.org/10.3390/e22020219 |
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author | Cao, Lianzhen Liu, Xia Yang, Yang Zhang, Qinwei Zhao, Jiaqiang Lu, Huaixin |
author_facet | Cao, Lianzhen Liu, Xia Yang, Yang Zhang, Qinwei Zhao, Jiaqiang Lu, Huaixin |
author_sort | Cao, Lianzhen |
collection | PubMed |
description | Quantum correlations of higher-dimensional systems are an important content of quantum information theory and quantum information application. The quantification of quantum correlation of high-dimensional quantum systems is crucial, but difficult. In this paper, using the second-order nonlinear optical effect and multiphoton interference enhancement effect, we experimentally implement the photonic qutrit states and demonstrate the spin-1 information entropic inequality for the first time to quantitative quantum correlation. Our work shows that information entropy is an important way to quantify quantum correlation and quantum information processing. |
format | Online Article Text |
id | pubmed-7516650 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-75166502020-11-09 Experimentally Demonstrate the Spin-1 Information Entropic Inequality Based on Simulated Photonic Qutrit States Cao, Lianzhen Liu, Xia Yang, Yang Zhang, Qinwei Zhao, Jiaqiang Lu, Huaixin Entropy (Basel) Article Quantum correlations of higher-dimensional systems are an important content of quantum information theory and quantum information application. The quantification of quantum correlation of high-dimensional quantum systems is crucial, but difficult. In this paper, using the second-order nonlinear optical effect and multiphoton interference enhancement effect, we experimentally implement the photonic qutrit states and demonstrate the spin-1 information entropic inequality for the first time to quantitative quantum correlation. Our work shows that information entropy is an important way to quantify quantum correlation and quantum information processing. MDPI 2020-02-15 /pmc/articles/PMC7516650/ /pubmed/33285993 http://dx.doi.org/10.3390/e22020219 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Cao, Lianzhen Liu, Xia Yang, Yang Zhang, Qinwei Zhao, Jiaqiang Lu, Huaixin Experimentally Demonstrate the Spin-1 Information Entropic Inequality Based on Simulated Photonic Qutrit States |
title | Experimentally Demonstrate the Spin-1 Information Entropic Inequality Based on Simulated Photonic Qutrit States |
title_full | Experimentally Demonstrate the Spin-1 Information Entropic Inequality Based on Simulated Photonic Qutrit States |
title_fullStr | Experimentally Demonstrate the Spin-1 Information Entropic Inequality Based on Simulated Photonic Qutrit States |
title_full_unstemmed | Experimentally Demonstrate the Spin-1 Information Entropic Inequality Based on Simulated Photonic Qutrit States |
title_short | Experimentally Demonstrate the Spin-1 Information Entropic Inequality Based on Simulated Photonic Qutrit States |
title_sort | experimentally demonstrate the spin-1 information entropic inequality based on simulated photonic qutrit states |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7516650/ https://www.ncbi.nlm.nih.gov/pubmed/33285993 http://dx.doi.org/10.3390/e22020219 |
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