Special Issue "Quantum Information"
A special issue of Entropy (ISSN 1099-4300).
Deadline for manuscript submissions: closed (30 April 2010)
Dr. Peter Harremoës
Copenhagen Business College, Rønne Alle 1, st., DK-2860 Søborg, Denmark
Phone: +45 39 56 41 71
Interests: symmetry; information divergence; cause and effect; Maxwell\'s demon; probability and statistics
All manuscripts should be submitted to firstname.lastname@example.org with a copy to the Guest Editor. Manuscripts can be submitted until the deadline. Papers will be published continuously (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are refereed through a peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Entropy is an international peer-reviewed Open Access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this Open Access journal is 1000 CHF per accepted paper.
- von Neumann entropy
- Renyi entropies
- channel capacities
- de Finetti theorem
- quantum cryptography
Entropy 2010, 12(6), 1612-1631; doi:10.3390/e12061612
Received: 4 May 2010; in revised form: 17 June 2010 / Accepted: 18 June 2010 / Published: 23 June 2010| Download PDF Full-text (676 KB)
Entropy 2010, 12(7), 1721-1732; doi:10.3390/e12071721
Received: 10 May 2010; in revised form: 21 June 2010 / Accepted: 25 June 2010 / Published: 29 June 2010| Download PDF Full-text (1597 KB)
Article: Roofs and Convexity
Entropy 2010, 12(7), 1799-1832; doi:10.3390/e12071799
Received: 5 June 2010; in revised form: 5 July 2010 / Accepted: 9 July 2010 / Published: 20 July 2010| Download PDF Full-text (394 KB)
Entropy 2010, 12(11), 2268-2307; doi:10.3390/e12112268
Received: 2 October 2010; in revised form: 2 November 2010 / Accepted: 10 November 2010 / Published: 15 November 2010| Download PDF Full-text (226 KB)
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
Type of Paper: Article
Title: Fisher Entropy to Shape Quantum Geometry
Authors: Germano Resconi 1 and Ignazio Licata 2
Affiliations: 1 Catholic University , via Treiste 17 Brescia , Italy; E-Mail: email@example.com
2 ISEM, Inst. For Scientific Methodology, PA, Italy; E-Mail: Ignazio.firstname.lastname@example.org
Abstract: A non-Euclidean geometry of information derives, on quantum level, from the probabilistic features of superposition and entanglement. Superposition phenomena lead to probabilities defined as distances in non-Euclidean spaces (quantum probability is not additive, and this is classically expressed by complex numbers, which are unnecessary in geometrical theory), entanglement imposes to build a space of global or statistical parameters, such as the averages including non-local and active information.
Deformation of universal geometry is the active information connected with Fisher entropy in the parameter space. Superposition in quantum mechanics is reflected in the deformation of the geometry. Entanglement is connected with the synchronic acquisition of the same geometry in any part of the universe. The essence of entanglement lies on the creation of a particular universal geometry in any part of the universe at the same time. The Universe and its geometry are reshaped at any moment for the change of the physical properties of the particles in the universe.
Type of Paper: Review
Title: Information Uncertainty: Bayesian Probability, Fuzzy Representation, Neural Networks or Quantum Probabilities?
Author: Nikola Kasabov
Affiliation: Knowledge Engineering and Discovery Research Institute, Auckland University of Technology, 350 Queen street, Auckland 1010, New Zealand; E-Mail: email@example.com; Website: http://www.kedri.info
Abstract: The paper reviews the main principles of several techniques for representing and processing information uncertainty. They include: Bayesian probability, fuzzy representation, neural networks and quantum superposition. A comparison between them is provided along with their past, current and future potential applications for solving class of problems.
Keywords: Bayesian probability; fuzzy representation; neural networks; quantum probabilities
Last update: 9 February 2010