Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/93305
PIRA download icon_1.1View/Download Full Text
Title: Iterative methods for computing U-eigenvalues of non-symmetric complex tensors with application in quantum entanglement
Authors: Zhang, M
Ni, G
Zhang, G 
Issue Date: Apr-2020
Source: Computational optimization and applications, Apr. 2020, v. 75, no. 3, p. 779-798
Abstract: The purpose of this paper is to study the problem of computing unitary eigenvalues (U-eigenvalues) of non-symmetric complex tensors. By means of symmetric embedding of complex tensors, the relationship between U-eigenpairs of a non-symmetric complex tensor and unitary symmetric eigenpairs (US-eigenpairs) of its symmetric embedding tensor is established. An Algorithm 3.1 is given to compute the U-eigenvalues of non-symmetric complex tensors by means of symmetric embedding. Another Algorithm 3.2, is proposed to directly compute the U-eigenvalues of non-symmetric complex tensors, without the aid of symmetric embedding. Finally, a tensor version of the well-known Gauss–Seidel method is developed. Efficiency of these three algorithms are compared by means of various numerical examples. These algorithms are applied to compute the geometric measure of entanglement of quantum multipartite non-symmetric pure states.
Keywords: Complex tensor
Geometric measure of entanglement
Iterative method
Unitary eigenvalue
Publisher: Springer
Journal: Computational optimization and applications 
ISSN: 0926-6003
EISSN: 1573-2894
DOI: 10.1007/s10589-019-00126-5
Rights: © Springer Science+Business Media, LLC, part of Springer Nature 2019
This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use (https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms), but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/s10589-019-00126-5
Appears in Collections:Journal/Magazine Article

Files in This Item:
File Description SizeFormat 
Zhang_Iterative_Methods_Computing.pdfPre-Published version872.18 kBAdobe PDFView/Open
Open Access Information
Status open access
File Version Final Accepted Manuscript
Access
View full-text via PolyU eLinks SFX Query
Show full item record

Page views

54
Last Week
0
Last month
Citations as of May 5, 2024

Downloads

39
Citations as of May 5, 2024

SCOPUSTM   
Citations

5
Citations as of Apr 26, 2024

WEB OF SCIENCETM
Citations

5
Citations as of May 2, 2024

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.