Improved lower bounds of concurrence and convex-roof extended negativity based on Bloch representations

Ming Li, Zong Wang, Jing Wang, Shu-Qian Shen, and Shao-Ming Fei

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Submission date: 17. Mar. 2020
Pages: 9
published in: Quantum information processing, 19 (2020) 4, art-no. 130 
DOI number (of the published article): 10.1007/s11128-020-02624-6
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Abstract:
Quantum entanglement plays significant roles in quantum information processing. Estimating quantum entanglement is an essential and difficult problem in the theory of quantum entanglement. We study two main measures of quantum entanglement: concurrence and convex-roof extended negativity. Based on the improved separability criterion from the Bloch representation of density matrices, we derive analytical lower bounds of the concurrence and the convex-roof extended negativity for arbitrary dimensional bipartite quantum systems. We show that these bounds are better than the existing ones by detailed examples.