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Probabilistic Hierarchical Quantum Information Splitting of Arbitrary Multi-Qubit States

By utilizing the non-maximally entangled four-qubit cluster states as the quantum channel, we first propose a hierarchical quantum information splitting scheme of arbitrary three-qubit states among three agents with a certain probability. Then we generalize the scheme to arbitrary multi-qubit states...

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Detalles Bibliográficos
Autores principales: Tang, Jie, Ma, Song-Ya, Li, Qi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9407153/
https://www.ncbi.nlm.nih.gov/pubmed/36010741
http://dx.doi.org/10.3390/e24081077
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author Tang, Jie
Ma, Song-Ya
Li, Qi
author_facet Tang, Jie
Ma, Song-Ya
Li, Qi
author_sort Tang, Jie
collection PubMed
description By utilizing the non-maximally entangled four-qubit cluster states as the quantum channel, we first propose a hierarchical quantum information splitting scheme of arbitrary three-qubit states among three agents with a certain probability. Then we generalize the scheme to arbitrary multi-qubit states. Hierarchy is reflected on the different abilities of agents to restore the target state. The high-grade agent only needs the help of one low-grade agent, while the low-grade agent requires all the other agents’ assistance. The designated receiver performs positive operator-valued measurement (POVM) which is elaborately constructed with the aid of Hadamard matrix. It is worth mentioning that a general expression of recovery operation is derived to disclose the relationship with measurement outcomes. Moreover, the scheme is extended to multiple agents by means of the symmetry of cluster states.
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spelling pubmed-94071532022-08-26 Probabilistic Hierarchical Quantum Information Splitting of Arbitrary Multi-Qubit States Tang, Jie Ma, Song-Ya Li, Qi Entropy (Basel) Article By utilizing the non-maximally entangled four-qubit cluster states as the quantum channel, we first propose a hierarchical quantum information splitting scheme of arbitrary three-qubit states among three agents with a certain probability. Then we generalize the scheme to arbitrary multi-qubit states. Hierarchy is reflected on the different abilities of agents to restore the target state. The high-grade agent only needs the help of one low-grade agent, while the low-grade agent requires all the other agents’ assistance. The designated receiver performs positive operator-valued measurement (POVM) which is elaborately constructed with the aid of Hadamard matrix. It is worth mentioning that a general expression of recovery operation is derived to disclose the relationship with measurement outcomes. Moreover, the scheme is extended to multiple agents by means of the symmetry of cluster states. MDPI 2022-08-04 /pmc/articles/PMC9407153/ /pubmed/36010741 http://dx.doi.org/10.3390/e24081077 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Tang, Jie
Ma, Song-Ya
Li, Qi
Probabilistic Hierarchical Quantum Information Splitting of Arbitrary Multi-Qubit States
title Probabilistic Hierarchical Quantum Information Splitting of Arbitrary Multi-Qubit States
title_full Probabilistic Hierarchical Quantum Information Splitting of Arbitrary Multi-Qubit States
title_fullStr Probabilistic Hierarchical Quantum Information Splitting of Arbitrary Multi-Qubit States
title_full_unstemmed Probabilistic Hierarchical Quantum Information Splitting of Arbitrary Multi-Qubit States
title_short Probabilistic Hierarchical Quantum Information Splitting of Arbitrary Multi-Qubit States
title_sort probabilistic hierarchical quantum information splitting of arbitrary multi-qubit states
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9407153/
https://www.ncbi.nlm.nih.gov/pubmed/36010741
http://dx.doi.org/10.3390/e24081077
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