Narrow your search

Library

KU Leuven (4)

AP (2)

KDG (2)

Odisee (2)

Thomas More Kempen (2)

Thomas More Mechelen (2)

UCLL (2)

ULB (2)

ULiège (2)

VIVES (2)

More...

Resource type

book (6)

digital (2)


Language

English (7)


Year
From To Submit

2021 (3)

2014 (2)

2003 (1)

2000 (1)

Listing 1 - 7 of 7
Sort by

Book
Quantum f-divergences in von neumann algebras : reversibility of quantum operations
Author:
ISBN: 9813341998 981334198X Year: 2021 Publisher: Singapore : Springer,

Loading...
Export citation

Choose an application

Bookmark

Abstract

Relative entropy has played a significant role in various fields of mathematics and physics as the quantum version of the Kullback–Leibler divergence in classical theory. Many variations of relative entropy have been introduced so far with applications to quantum information and related subjects. Typical examples are three different classes, called the standard, the maximal, and the measured f-divergences, all of which are defined in terms of (operator) convex functions f on (0,∞) and have respective mathematical and information theoretical backgrounds. The α-Rényi relative entropy and its new version called the sandwiched α-Rényi relative entropy have also been useful in recent developments of quantum information. In the first half of this monograph, the different types of quantum f-divergences and the Rényi-type divergences mentioned above in the general von Neumann algebra setting are presented for study. While quantum information has been developing mostly in the finite-dimensional setting, it is widely believed that von Neumann algebras provide the most suitable framework in studying quantum information and related subjects. Thus, the advance of quantum divergences in von Neumann algebras will be beneficial for further development of quantum information. Quantum divergences are functions of two states (or more generally, two positive linear functionals) on a quantum system and measure the difference between the two states. They are often utilized to address such problems as state discrimination, error correction, and reversibility of quantum operations. In the second half of the monograph, the reversibility/sufficiency theory for quantum operations (quantum channels) between von Neumann algebras via quantum f-divergences is explained, thus extending and strengthening Petz' previous work. For the convenience of the reader, an appendix including concise accounts of von Neumann algebras is provided.


Book
Introduction to Matrix Analysis and Applications
Authors: ---
ISBN: 3319041495 3319041509 Year: 2014 Publisher: Cham : Springer International Publishing : Imprint: Springer,

Loading...
Export citation

Choose an application

Bookmark

Abstract

Matrices can be studied in different ways. They are a linear algebraic structure and have a topological/analytical aspect (for example, the normed space of matrices) and they also carry an order structure that is induced by positive semidefinite matrices. The interplay of these closely related structures is an essential feature of matrix analysis. This book explains these aspects of matrix analysis from a functional analysis point of view. After an introduction to matrices and functional analysis, it covers more advanced topics such as matrix monotone functions, matrix means, majorization and entropies. Several applications to quantum information are also included. Introduction to Matrix Analysis and Applications is appropriate for an advanced graduate course on matrix analysis, particularly aimed at studying quantum information. It can also be used as a reference for researchers in quantum information, statistics, engineering and economics.

Means of Hilbert space operators.
Authors: ---
ISBN: 3540406808 Year: 2003 Publisher: Berlin Springer

Loading...
Export citation

Choose an application

Bookmark

Abstract


Digital
Introduction to Matrix Analysis and Applications
Authors: ---
ISBN: 9783319041506 Year: 2014 Publisher: Cham Springer International Publishing

Loading...
Export citation

Choose an application

Bookmark

Abstract

Matrices can be studied in different ways. They are a linear algebraic structure and have a topological/analytical aspect (for example, the normed space of matrices) and they also carry an order structure that is induced by positive semidefinite matrices. The interplay of these closely related structures is an essential feature of matrix analysis. This book explains these aspects of matrix analysis from a functional analysis point of view. After an introduction to matrices and functional analysis, it covers more advanced topics such as matrix monotone functions, matrix means, majorization and entropies. Several applications to quantum information are also included. Introduction to Matrix Analysis and Applications is appropriate for an advanced graduate course on matrix analysis, particularly aimed at studying quantum information. It can also be used as a reference for researchers in quantum information, statistics, engineering and economics.

Keywords

Algebra --- Mathematics --- algebra --- matrices --- wiskunde

The semicircle law, free random variables and entropy
Authors: ---
ISBN: 0821820818 Year: 2000 Publisher: Providence (R.I.): American Mathematical Society

Loading...
Export citation

Choose an application

Bookmark

Abstract


Book
Quantum f-Divergences in von Neumann Algebras
Authors: ---
ISBN: 9789813341999 9789813342002 9789813342019 9789813341982 Year: 2021 Publisher: Singapore Springer Singapore :Imprint: Springer

Loading...
Export citation

Choose an application

Bookmark

Abstract


Multi
Quantum f-Divergences in von Neumann Algebras
Authors: ---
ISBN: 9789813341999 9789813342002 9789813342019 9789813341982 Year: 2021 Publisher: Singapore Springer Singapore :Imprint: Springer

Loading...
Export citation

Choose an application

Bookmark

Abstract

Relative entropy has played a significant role in various fields of mathematics and physics as the quantum version of the Kullback-Leibler divergence in classical theory. Many variations of relative entropy have been introduced so far with applications to quantum information and related subjects. Typical examples are three different classes, called the standard, the maximal, and the measured f-divergences, all of which are defined in terms of (operator) convex functions f on (0,∞) and have respective mathematical and information theoretical backgrounds. The α-Rényi relative entropy and its new version called the sandwiched α-Rényi relative entropy have also been useful in recent developments of quantum information. In the first half of this monograph, the different types of quantum f-divergences and the Rényi-type divergences mentioned above in the general von Neumann algebra setting are presented for study. While quantum information has been developing mostly in the finite-dimensional setting, it is widely believed that von Neumann algebras provide the most suitable framework in studying quantum information and related subjects. Thus, the advance of quantum divergences in von Neumann algebras will be beneficial for further development of quantum information. Quantum divergences are functions of two states (or more generally, two positive linear functionals) on a quantum system and measure the difference between the two states. They are often utilized to address such problems as state discrimination, error correction, and reversibility of quantum operations. In the second half of the monograph, the reversibility/sufficiency theory for quantum operations (quantum channels) between von Neumann algebras via quantum f-divergences is explained, thus extending and strengthening Petz' previous work. For the convenience of the reader, an appendix including concise accounts of von Neumann algebras is provided.

Listing 1 - 7 of 7
Sort by