用于求和与数据排序的安全多方量子计算

IF 2.2 3区 物理与天体物理 Q1 PHYSICS, MATHEMATICAL Quantum Information Processing Pub Date : 2024-09-18 DOI:10.1007/s11128-024-04528-1
Xiaobing Li, Yunyan Xiong, Cai Zhang
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引用次数: 0

摘要

本文提出了一种基于逆量子傅里叶变换的量子安全多方求和与隐私排序协议。该协议允许多个参与者在不泄露其私人输入的情况下获得其秘密的求和与排序。协议中的每个参与者通过相位变换算子和逆量子傅里叶变换,将自己的秘密输入编码为 n 个粒子的 d 级纠缠态的相位。最后,所有参与者进行测量并共同计算所有秘密数据的总和,同时根据最终结果得出各自的私人输入排名。与现有的类似量子求和与排序协议相比,该协议只需一次性粒子传输,不需要私钥序列来加密秘密信息,因此具有更高的量子效率。参与者可以进一步自行获得其秘密输入的排序。安全分析和仿真证明了该协议的可信性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Secure multiparty quantum computation for summation and data sorting

In this paper, we propose a protocol for quantum secure multiparty summation and privacy sorting based on inverse quantum Fourier transform. The protocol allows multiple participants to obtain the summation and sorting of their secrets without revealing their private inputs. Each participant in the protocol encodes his/her own secret input into the phase of the d-level entangled state of n particles by means of a phase transformation operator and an inverse quantum Fourier transform. Finally, all participants perform measurements and jointly calculate the sum of all the secret data, meanwhile deriving their own rankings of the private inputs based on the final results. Compared to the existing similar quantum summation and sorting protocols, this protocol requires only a one-time particle transmission and does not require private key sequences to encrypt secret information, resulting in higher quantum efficiency. The participants can further obtain the ranking of their secret inputs by themselves. The credibility of the protocol is demonstrated in security analysis and simulation.

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来源期刊
Quantum Information Processing
Quantum Information Processing 物理-物理:数学物理
CiteScore
4.10
自引率
20.00%
发文量
337
审稿时长
4.5 months
期刊介绍: Quantum Information Processing is a high-impact, international journal publishing cutting-edge experimental and theoretical research in all areas of Quantum Information Science. Topics of interest include quantum cryptography and communications, entanglement and discord, quantum algorithms, quantum error correction and fault tolerance, quantum computer science, quantum imaging and sensing, and experimental platforms for quantum information. Quantum Information Processing supports and inspires research by providing a comprehensive peer review process, and broadcasting high quality results in a range of formats. These include original papers, letters, broadly focused perspectives, comprehensive review articles, book reviews, and special topical issues. The journal is particularly interested in papers detailing and demonstrating quantum information protocols for cryptography, communications, computation, and sensing.
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