Xiaoyu Li1, Qinsheng Zhu2, *, Yiming Huang1, Yong Hu2, Qingyu Meng2, Chenjing Su1, Qing Yang2, Shaoyi Wu2, Xusheng Liu3
CMC-Computers, Materials & Continua, Vol.65, No.3, pp. 2143-2151, 2020, DOI:10.32604/cmc.2020.010865
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… More >
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