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arXiv 1608.03362math-phmath.MPquant-ph
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矩阵不等式在Rényi熵中的应用

Some applications of matrix inequalities in Rényi entropy

Hadi Reisizadeh, S. Mahmoud Manjegani

摘要:

R{é}nyi熵是推广Shannon熵的重要信息测度之一。量子R{é}nyi熵在量子信息理论中具有重要的作用,因此,对该量的界定是至关重要的。另一个重要的量是R{é} nyi相对熵,基于该相对熵定义了条件熵和互信息的R{é}nyi推广。因此,寻找R{é}nyi相对熵的下界是本文的目标.利用矩阵不等式证明了$β$型熵R{é}nyi熵的新界.

英文摘要:

The R{é}nyi entropy is one of the important information measures that generalizes Shannon's entropy. The quantum R{é}nyi entropy has a fundamental role in quantum information theory, therefore, bounding this quantity is of vital importance. Another important quantity is R{é}nyi relative entropy on which R{é}nyi generalization of the conditional entropy, and mutual information are defined based. Thus, finding lower bound for R{é}nyi relative entropy is our goal in this paper. We use matrix inequalities to prove new bounds on the entropy of type $β$, R{é}nyi entropy.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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