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Secure Multiparty Quantum Computation for Summation and Multiplication

As a fundamental primitive, Secure Multiparty Summation and Multiplication can be used to build complex secure protocols for other multiparty computations, specially, numerical computations. However, there is still lack of systematical and efficient quantum methods to compute Secure Multiparty Summa...

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Detalles Bibliográficos
Autores principales: Shi, Run-hua, Mu, Yi, Zhong, Hong, Cui, Jie, Zhang, Shun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4726197/
https://www.ncbi.nlm.nih.gov/pubmed/26792197
http://dx.doi.org/10.1038/srep19655
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author Shi, Run-hua
Mu, Yi
Zhong, Hong
Cui, Jie
Zhang, Shun
author_facet Shi, Run-hua
Mu, Yi
Zhong, Hong
Cui, Jie
Zhang, Shun
author_sort Shi, Run-hua
collection PubMed
description As a fundamental primitive, Secure Multiparty Summation and Multiplication can be used to build complex secure protocols for other multiparty computations, specially, numerical computations. However, there is still lack of systematical and efficient quantum methods to compute Secure Multiparty Summation and Multiplication. In this paper, we present a novel and efficient quantum approach to securely compute the summation and multiplication of multiparty private inputs, respectively. Compared to classical solutions, our proposed approach can ensure the unconditional security and the perfect privacy protection based on the physical principle of quantum mechanics.
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spelling pubmed-47261972016-01-27 Secure Multiparty Quantum Computation for Summation and Multiplication Shi, Run-hua Mu, Yi Zhong, Hong Cui, Jie Zhang, Shun Sci Rep Article As a fundamental primitive, Secure Multiparty Summation and Multiplication can be used to build complex secure protocols for other multiparty computations, specially, numerical computations. However, there is still lack of systematical and efficient quantum methods to compute Secure Multiparty Summation and Multiplication. In this paper, we present a novel and efficient quantum approach to securely compute the summation and multiplication of multiparty private inputs, respectively. Compared to classical solutions, our proposed approach can ensure the unconditional security and the perfect privacy protection based on the physical principle of quantum mechanics. Nature Publishing Group 2016-01-21 /pmc/articles/PMC4726197/ /pubmed/26792197 http://dx.doi.org/10.1038/srep19655 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Shi, Run-hua
Mu, Yi
Zhong, Hong
Cui, Jie
Zhang, Shun
Secure Multiparty Quantum Computation for Summation and Multiplication
title Secure Multiparty Quantum Computation for Summation and Multiplication
title_full Secure Multiparty Quantum Computation for Summation and Multiplication
title_fullStr Secure Multiparty Quantum Computation for Summation and Multiplication
title_full_unstemmed Secure Multiparty Quantum Computation for Summation and Multiplication
title_short Secure Multiparty Quantum Computation for Summation and Multiplication
title_sort secure multiparty quantum computation for summation and multiplication
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4726197/
https://www.ncbi.nlm.nih.gov/pubmed/26792197
http://dx.doi.org/10.1038/srep19655
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