Open Access
ARTICLE
Research on the Freezing Phenomenon of Quantum Correlation by Machine Learning
Xiaoyu Li1, Qinsheng Zhu2, *, Yiming Huang1, Yong Hu2, Qingyu Meng2, Chenjing Su1, Qing Yang2, Shaoyi Wu2, Xusheng Liu3
1 School of Information and Software Engineering, University of Electronic Science and Technology of China,
Chengdu, 610054, China.
2 School of Physics, University of Electronic Science and Technology of China, Chengdu, 610054, China.
3 Department of Chemistry and Biochemistry, Utah State University, Logan, Utah, 84322, USA.
* Corresponding Author: Qinsheng Zhu. Email: .
Computers, Materials & Continua 2020, 65(3), 2143-2151. https://doi.org/10.32604/cmc.2020.010865
Received 02 April 2020; Accepted 28 June 2020; Issue published 16 September 2020
Abstract
Quantum correlation shows a fascinating nature of quantum mechanics and
plays an important role in some physics topics, especially in the field of quantum
information. Quantum correlations of the composite system can be quantified by
resorting to geometric or entropy methods, and all these quantification methods exhibit
the peculiar freezing phenomenon. The challenge is to find the characteristics of the
quantum states that generate the freezing phenomenon, rather than only study the
conditions which generate this phenomenon under a certain quantum system. In essence,
this is a classification problem. Machine learning has become an effective method for
researchers to study classification and feature generation. In this work, we prove that the
machine learning can solve the problem of X form quantum states, which is a problem of
physical significance. Subsequently, we apply the density-based spatial clustering of
applications with noise (DBSCAN) algorithm and the decision tree to divide quantum
states into two different groups. Our goal is to classify the quantum correlations of
quantum states into two classes: one is the quantum correlation with freezing
phenomenon for both Rènyi discord (
Keywords
Cite This Article
X. Li, Q. Zhu, Y. Huang, Y. Hu, Q. Meng
et al., "Research on the freezing phenomenon of quantum correlation by machine learning,"
Computers, Materials & Continua, vol. 65, no.3, pp. 2143–2151, 2020. https://doi.org/10.32604/cmc.2020.010865
Citations