Results 11 to 20 of about 153,987 (282)
Conditional entropy of ordinal patterns [PDF]
Physica D: Nonlinear Phenomena, 2014 In this paper we investigate a quantity called conditional entropy of ordinal patterns, akin to the permutation entropy. The conditional entropy of ordinal patterns describes the average diversity of the ordinal patterns succeeding a given ordinal ...
Keller, Karsten, Unakafov, Anton M.
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A-unital Operations and Quantum Conditional Entropy [PDF]
Quantum, 2022 Negative quantum conditional entropy states are key ingredients for information theoretic tasks such as superdense coding, state merging and one-way entanglement distillation.
Mahathi Vempati +3 more
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Rényi Entropies of Dynamical Systems: A Generalization Approach [PDF]
Journal of Mahani Mathematical Research, 2023 Entropy measures have received considerable attention in quantifying the structural complexity of real-world systems and are also used as measures of information obtained from a realization of the considered experiments. In the present study, new notions
Zahra Eslami Giski +2 more
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Witnessing negative conditional entropy [PDF]
Physical Review A, 2021 Quantum states that possess negative conditional von Neumann entropy provide quantum advantage in several information-theoretic protocols including superdense coding, state merging, distributed private randomness distillation and one-way entanglement distillation.
Mahathi Vempati +3 more
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Fractal and Fractional, 2022 Fractional cumulative residual entropy is a powerful tool for the analysis of complex systems. In this paper, we first provide some properties of fractional cumulative residual entropy (FCRE).
Keqiang Dong, Shushu Li, Dan Li
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PRX Quantum, 2022 We study quantum conditional entropy production, which quantifies the irreversibility of system-environment evolution from the perspective of a third system, called the reference. The reference is initially correlated with the system.
Kun Zhang +3 more
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The Information Loss of a Stochastic Map
Entropy, 2021 We provide a stochastic extension of the Baez–Fritz–Leinster characterization of the Shannon information loss associated with a measure-preserving function. This recovers the conditional entropy and a closely related information-theoretic measure that we
James Fullwood, Arthur J. Parzygnat
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Conditional Tsallis Entropy [PDF]
Cybernetics and Information Technologies, 2013 Abstract In this paper, the conditional Tsallis entropy is defined on the basis of the conditional Renyi entropy. Regarding the fact that Renyi entropy is the monotonically increasing function of Tsallis entropy, a relationship has also been presented between the joint Tsallis entropy and conditional Tsallis entropy.
Sanei Tabass Manije +2 more
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Inevitability of knowing less than nothing [PDF]
QuantumA colloquial interpretation of entropy is that it is the knowledge gained upon learning the outcome of a random experiment. Conditional entropy is then interpreted as the knowledge gained upon learning the outcome of one random experiment after learning ...
Gilad Gour +3 more
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On defining partition entropy by inequalities [PDF]
, 2007 Partition entropy is the numerical metric of uncertainty within a partition of a finite set, while conditional entropy measures the degree of difficulty in predicting a decision partition when a condition partition is provided.
He, Q, Luo, P, Lü, K, Shi, Z, Zhan, G
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