Higher-order singular value decomposition and the reduced density matrices of three qubits

In this paper, we demonstrate that higher order singular value decomposition (HOSVD) can be used to identify special states in three qubits by local unitary (LU) operations. Since the matrix unfoldings of three qubits are related to their reduced density matrices, HOSVD simultaneously diagonalizes t...

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Main Authors: Choong, Pak Shen, Zainuddin, Hishamuddin, Chan, Kar Tim, Said Husain, Sharifah Kartini
Format: Article
Language:English
Published: Springer 2020
Online Access:http://psasir.upm.edu.my/id/eprint/89187/1/VALUE.pdf
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author Choong, Pak Shen
Zainuddin, Hishamuddin
Chan, Kar Tim
Said Husain, Sharifah Kartini
author_facet Choong, Pak Shen
Zainuddin, Hishamuddin
Chan, Kar Tim
Said Husain, Sharifah Kartini
author_sort Choong, Pak Shen
collection UPM
description In this paper, we demonstrate that higher order singular value decomposition (HOSVD) can be used to identify special states in three qubits by local unitary (LU) operations. Since the matrix unfoldings of three qubits are related to their reduced density matrices, HOSVD simultaneously diagonalizes the one-body reduced density matrices of three qubits. From the all-orthogonality conditions of HOSVD, we computed the special states of three qubits. Furthermore, we showed that it is possible to construct a polytope that encapsulates all the special states of three qubits by LU operations with HOSVD.
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spelling upm.eprints-891872021-09-20T23:36:28Z http://psasir.upm.edu.my/id/eprint/89187/ Higher-order singular value decomposition and the reduced density matrices of three qubits Choong, Pak Shen Zainuddin, Hishamuddin Chan, Kar Tim Said Husain, Sharifah Kartini In this paper, we demonstrate that higher order singular value decomposition (HOSVD) can be used to identify special states in three qubits by local unitary (LU) operations. Since the matrix unfoldings of three qubits are related to their reduced density matrices, HOSVD simultaneously diagonalizes the one-body reduced density matrices of three qubits. From the all-orthogonality conditions of HOSVD, we computed the special states of three qubits. Furthermore, we showed that it is possible to construct a polytope that encapsulates all the special states of three qubits by LU operations with HOSVD. Springer 2020 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/89187/1/VALUE.pdf Choong, Pak Shen and Zainuddin, Hishamuddin and Chan, Kar Tim and Said Husain, Sharifah Kartini (2020) Higher-order singular value decomposition and the reduced density matrices of three qubits. Quantum Information Processing, 19 (9). art. no. 338. pp. 1-21. ISSN 1570-0755; ESSN: 1573-1332 https://link.springer.com/article/10.1007/s11128-020-02848-6 10.1007/s11128-020-02848-6
spellingShingle Choong, Pak Shen
Zainuddin, Hishamuddin
Chan, Kar Tim
Said Husain, Sharifah Kartini
Higher-order singular value decomposition and the reduced density matrices of three qubits
title Higher-order singular value decomposition and the reduced density matrices of three qubits
title_full Higher-order singular value decomposition and the reduced density matrices of three qubits
title_fullStr Higher-order singular value decomposition and the reduced density matrices of three qubits
title_full_unstemmed Higher-order singular value decomposition and the reduced density matrices of three qubits
title_short Higher-order singular value decomposition and the reduced density matrices of three qubits
title_sort higher order singular value decomposition and the reduced density matrices of three qubits
url http://psasir.upm.edu.my/id/eprint/89187/1/VALUE.pdf
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