A method for representing probabilistic aspects of quantum systems by means of a density function on the space of pure quantum states is introduced. In particular, a maximum entropy argument allows us to obtain a natural density function that only reflects the information provided by the density matrix. This result is applied to derive the Shannon entropy of a quantum state. The information theoretic quantum entropy thereby obtained is shown to have the desired concavity property, and to differ from the conventional von Neumann entropy. This is illustrated explicitly for a two-state system. (C) 2000 American Institute of Physics. S0022-2488(00)03305-3
The present work is an introductory study about entropy its properties and its role in quantum infor...
We find that the standard relative entropy and the Umegaki entropy are designed for the purpose of i...
This book provides the reader with the mathematical framework required to fully explore the potentia...
It is well known that a Shannon-based definition of information entropy leads in the classical case ...
The information content of a source is defined in terms of the minimum number of bits needed to stor...
In this paper, we generalize the notion of Shannon’s entropy power to the Rényi-entropy setting. Wit...
latex InfoStatPhys-unix.tex, 3 files, 2 figures, 32 pages http://www-spht.cea.fr/articles/T04/185Int...
Abstract Using random matrix techniques and the theory of Matrix Product States we show that reduced...
Information entropy, the expected amount of information produced by a random data source, has been a...
Logical information theory is the quantitative version of the logic of partitions just as logical pr...
This thesis consolidates, improves and extends the smooth entropy framework for non-asymptotic infor...
A theorem is proven for quantum information theory that is analogous to the noiseless coding theorem...
htmlabstractThe Rényi entropies constitute a family of information measures that generalizes the wel...
ABSTRACT: In this paper we construct a theory of quantum mechanics based on Shannon information theo...
Abstract: In this paper we construct a theory of quantum mechanics based on Shannon information theo...
The present work is an introductory study about entropy its properties and its role in quantum infor...
We find that the standard relative entropy and the Umegaki entropy are designed for the purpose of i...
This book provides the reader with the mathematical framework required to fully explore the potentia...
It is well known that a Shannon-based definition of information entropy leads in the classical case ...
The information content of a source is defined in terms of the minimum number of bits needed to stor...
In this paper, we generalize the notion of Shannon’s entropy power to the Rényi-entropy setting. Wit...
latex InfoStatPhys-unix.tex, 3 files, 2 figures, 32 pages http://www-spht.cea.fr/articles/T04/185Int...
Abstract Using random matrix techniques and the theory of Matrix Product States we show that reduced...
Information entropy, the expected amount of information produced by a random data source, has been a...
Logical information theory is the quantitative version of the logic of partitions just as logical pr...
This thesis consolidates, improves and extends the smooth entropy framework for non-asymptotic infor...
A theorem is proven for quantum information theory that is analogous to the noiseless coding theorem...
htmlabstractThe Rényi entropies constitute a family of information measures that generalizes the wel...
ABSTRACT: In this paper we construct a theory of quantum mechanics based on Shannon information theo...
Abstract: In this paper we construct a theory of quantum mechanics based on Shannon information theo...
The present work is an introductory study about entropy its properties and its role in quantum infor...
We find that the standard relative entropy and the Umegaki entropy are designed for the purpose of i...
This book provides the reader with the mathematical framework required to fully explore the potentia...