Unified scheme for correlations using linear relative entropy
- 1. Department of Physics, Faculty of Sciences, University Ibnou Zohr, Agadir (Morocco)
- 2. Abdus Salam International Centre for Theoretical Physics, Trieste (Italy)
- 3. Max Planck Institute for the Physics of Complex Systems, Dresden (Germany)
- 4. Centre of Physics and Mathematics, Rabat (Morocco)
- 5. LPHE-Modeling and Simulation, Faculty of Sciences, Rabat (Morocco)
Description
A linearized variant of relative entropy is used to quantify in a unified scheme the different kinds of correlations in a bipartite quantum system. As illustration, we consider a two-qubit state with parity and exchange symmetries for which we determine the total, classical and quantum correlations. We also give the explicit expressions of its closest product state, closest classical state and the corresponding closest product state. A closed additive relation, involving the various correlations quantified by linear relative entropy, is derived. - Highlights: • We propose a unified view of correlations in a two qubit system. • The linear relative entropy is used to quantify total, quantum and classical correlations. • We discuss the relationship among the different types of correlations in a two qubit system
Availability note (English)
Available from http://dx.doi.org/10.1016/j.physleta.2014.10.012Additional details
Identifiers
- DOI
- 10.1016/j.physleta.2014.10.012;
- arXiv
- arXiv:1412.1072v1;
- PII
- S0375-9601(14)01016-0;
Publishing Information
- Journal Title
- Physics Letters. A
- Journal Volume
- 378
- Journal Issue
- 47
- Journal Page Range
- p. 3501-3508
- ISSN
- 0375-9601
- CODEN
- PYLAAG
INIS
- Country of Publication
- Netherlands
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 47005648
- Subject category
- S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
- Descriptors DEI
- CORRELATIONS; ENTROPY; PARITY; QUANTUM SYSTEMS; SYMMETRY
- Descriptors DEC
- PARTICLE PROPERTIES; PHYSICAL PROPERTIES; THERMODYNAMIC PROPERTIES
Optional Information
- Copyright
- Copyright (c) 2014 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.