Xiaoyu Li¹, Yiming Huang¹, Qinsheng Zhu^2,*, Xusheng Liu³, Desheng Zheng⁴

CMC-Computers, Materials & Continua, Vol.66, No.3, pp. 3107-3120, 2021, DOI:10.32604/cmc.2021.012698 - 28 December 2020

Abstract Quantum correlation plays a critical role in the maintenance of quantum information processing and nanometer device design. In the past two decades, several quantitative methods had been proposed to study the quantum correlation of certain open quantum systems, including the geometry and entropy style discord methods. However, there are differences among these quantification methods, which promote a deep understanding of the quantum correlation. In this paper, a novel time-dependent three environmental open system model is established to study the quantum correlation. This system model interacts with two independent spin-environments (two spin-environments are connected to the… More >

Xiaoyu Li¹, Qinsheng Zhu^{2, *}, 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 - 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 More >