A framework of methods classification for multipartite entanglement

Siti Munirah Mohd, Bahari Idrus, Muriati Mukhtar, Hishamuddin Zainuddin

Research output: Contribution to journalArticle

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Abstract

Multipartite entanglement study carried out after bipartite entanglement as multipartite has a structure that is more useful for processing data in quantum information. In entanglement, two major studies were often focus is the measurement and classification of entanglement. Since a lots of measurements have been used to detect and quantify the entanglement in multipartite but it cannot distinguish the state specifically hence the classification is used to discriminate the state easily. Therefore, this study investigated the methods of classification of selected published works. This paper aims to recognize and describe the type of methods used by those works. As a result, a conceptual framework for classifying the multipartite entanglement was proposed based on previous works. This paper is expected to provide other alternative methods for classification.

Original languageEnglish
Pages (from-to)438-445
Number of pages8
JournalJournal of Theoretical and Applied Information Technology
Volume81
Issue number3
Publication statusPublished - 30 Nov 2015

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Keywords

  • Classification of multipartite entanglement
  • Entanglement measurement
  • Local unitary (LU)
  • Multipartite entanglement
  • Stochastics local operations and classical communication (SLOCC)

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

A framework of methods classification for multipartite entanglement. / Mohd, Siti Munirah; Idrus, Bahari; Mukhtar, Muriati; Zainuddin, Hishamuddin.

In: Journal of Theoretical and Applied Information Technology, Vol. 81, No. 3, 30.11.2015, p. 438-445.

Research output: Contribution to journalArticle

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