Relations Between Observational Entropy and Other Measures Based on Tsallis-q Entropy

被引：0
作者：
Xiang Zhou
机构：
[1] South China University of Technology,Department of Mathematics
来源：
International Journal of Theoretical Physics | / 62卷
关键词：
Observational entropy; Tsallis-; entropy; Coarse-graining; Tsallis-; entanglement; Concurrence;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Relations between observational entropy and other measures based on Tsallis-q entropy are presented in this paper. For two-qubit pure states, relations between observational entropy and Tsallis-q entanglement through some monotone function are given. We generalize these relations to the two-qubit mixed state for some range of q. For the case of mixed states, we also study the relations between observational entropy and Tsallis-q entanglement of Assistance (TEoA) for some range of q. An estimate of the mean observational entropy of a pure state through the TEoA of a two-qubit mixed state is determined. These results of this paper reveal the relations between a non-entanglement measure (observational entropy) and an entanglement measure (Tsallis-q entanglement and TEoA).
引用
收藏
相关论文
共 50 条
  • [31] Predicting the complexity of code changes using entropy based measures
    K. K. Chaturvedi
    P. K. Kapur
    Sameer Anand
    V. B. Singh
    International Journal of System Assurance Engineering and Management, 2014, 5 (2) : 155 - 164
  • [32] Automated Detection of Driver Fatigue Based on Entropy and Complexity Measures
    Zhang, Chi
    Wang, Hong
    Fu, Rongrong
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2014, 15 (01) : 168 - 177
  • [33] Predicting the complexity of code changes using entropy based measures
    Chaturvedi, K. K.
    Kapur, P. K.
    Anand, Sameer
    Singh, V. B.
    INTERNATIONAL JOURNAL OF SYSTEM ASSURANCE ENGINEERING AND MANAGEMENT, 2014, 5 (02) : 155 - 164
  • [34] Entropy measures for Atanassov intuitionistic fuzzy sets based on divergence
    Ignacio Montes
    Nikhil R. Pal
    Susana Montes
    Soft Computing, 2018, 22 : 5051 - 5071
  • [35] Entropy measures for Atanassov intuitionistic fuzzy sets based on divergence
    Montes, Ignacio
    Pal, Nikhil R.
    Montes, Susana
    SOFT COMPUTING, 2018, 22 (15) : 5051 - 5071
  • [36] An Educational Methodology to Interpret the Entropy of a Source Based on the Analogy between such an Entropy and the Mechanical Energy
    Bonache, Jorge
    Cousido, Carmen
    Hernandez, Wilmar
    INTERNATIONAL JOURNAL OF ENGINEERING EDUCATION, 2010, 26 (03) : 602 - 611
  • [37] Relating quantum coherence and correlations with entropy-based measures
    Wang, Xiao-Li
    Yue, Qiu-Ling
    Yu, Chao-Hua
    Gao, Fei
    Qin, Su-Juan
    SCIENTIFIC REPORTS, 2017, 7
  • [38] Competition between conceptual relations affects compound recognition: the role of entropy
    Daniel Schmidtke
    Victor Kuperman
    Christina L. Gagné
    Thomas L. Spalding
    Psychonomic Bulletin & Review, 2016, 23 : 556 - 570
  • [39] Relations Between Entropy and Accuracy Trends in Complex Artificial Neural Networks
    Cavallaro, Lucia
    Grassia, Marco
    Fiumara, Giacomo
    Mangioni, Giuseppe
    De Meo, Pasquale
    Carchiolo, Vincenza
    Bagdasar, Ovidiu
    Liotta, Antonio
    COMPLEX NETWORKS & THEIR APPLICATIONS X, VOL 2, 2022, 1016 : 452 - 460
  • [40] On Curve Fitting between Heat of Formation and Entropy Measures for Fe Phthalocyanine
    Hanif, Muhammad Farhan
    Mahmood, Hasan
    POLYCYCLIC AROMATIC COMPOUNDS, 2023, 43 (09) : 8442 - 8454
12345