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Classification and Measurement of Multip...

Sheikholeslam, Seyed...

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Classification and Measurement of Multipartite Quantum Entanglements by Sheikholeslam, Seyed Arash ( Author )

Content Provider	Lemonjar Open Access
Publisher	Australian National University
Publication Date	27-07-2023
Summary	This paper presents a new measure of entanglement which can be employed for multipartite entangled systems. The classification of multipartite entangled systems based on this measure is considered. Two approaches to applying this measure to mixed quantum states are discussed.
ISBN	-
Item Type	Article
File Type	pdf
File Size	29.34 KB
Language	English
Subjects	-
Unlimited	MYR 0.01
Total read	-
URL	http://arxiv.org/abs/1205.2339

Citation

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AMA 11th EditionReferences

Sheikholeslam, Seyed Arash. Classification and Measurement of Multipartite Quantum Entanglements. Australian National University. July 27, 2023. Accessed September 20, 2024. https://online.provdatabase.com/cite/5436

APA 7th EditionReferences

Sheikholeslam, Seyed Arash. (2023). Classification and Measurement of Multipartite Quantum Entanglements. Australian National University. https://online.provdatabase.com/cite/5436

Chicago 17th EditionReferences

Sheikholeslam, Seyed Arash. Classification and Measurement of Multipartite Quantum Entanglements. Australian National University. 2023. https://online.provdatabase.com/cite/5436

HarvardReferences

Sheikholeslam, Seyed Arash. (2023). Classification and Measurement of Multipartite Quantum Entanglements. [Online]. Australian National University. Available from: https://online.provdatabase.com/cite/5436. (Accessed 20 September 2024).

Harvard AustraliaReferences

Sheikholeslam, Seyed Arash, 2023, Classification and Measurement of Multipartite Quantum Entanglements, Australian National University, viewed 20 September 2024, <https://online.provdatabase.com/cite/5436>

MLA 9th EditionWorks Cited

Sheikholeslam, Seyed Arash. Classification and Measurement of Multipartite Quantum Entanglements. Australian National University, 2023. PROV Database, https://online.provdatabase.com/cite/5436.

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