![](/images/graphics-bg.png)
Computing Coherence Vectors and Correlation Matrices with Application to Quantum Discord Quantification
Author
Source
Advances in Mathematical Physics
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-06-29
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
Coherence vectors and correlation matrices are important functions frequently used in physics.
The numerical calculation of these functions directly from their definitions, which involves Kronecker products and matrix multiplications, may seem to be a reasonable option.
Notwithstanding, as we demonstrate in this paper, some algebraic manipulations before programming can reduce considerably their computational complexity.
Besides, we provide Fortran code to generate generalized Gell-Mann matrices and to compute the optimized and unoptimized versions of associated Bloch’s vectors and correlation matrix in the case of bipartite quantum systems.
As a code test and application example, we consider the calculation of Hilbert-Schmidt quantum discords.
American Psychological Association (APA)
Maziero, Jonas. 2016. Computing Coherence Vectors and Correlation Matrices with Application to Quantum Discord Quantification. Advances in Mathematical Physics،Vol. 2016, no. 2016, pp.1-7.
https://search.emarefa.net/detail/BIM-1095878
Modern Language Association (MLA)
Maziero, Jonas. Computing Coherence Vectors and Correlation Matrices with Application to Quantum Discord Quantification. Advances in Mathematical Physics No. 2016 (2016), pp.1-7.
https://search.emarefa.net/detail/BIM-1095878
American Medical Association (AMA)
Maziero, Jonas. Computing Coherence Vectors and Correlation Matrices with Application to Quantum Discord Quantification. Advances in Mathematical Physics. 2016. Vol. 2016, no. 2016, pp.1-7.
https://search.emarefa.net/detail/BIM-1095878
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1095878