Practical quantum protocols for blind millionaires’ problem based on rotation encryption and swap test
Xi Huang,
Wenfang Zhang and
Shibin Zhang
Physica A: Statistical Mechanics and its Applications, 2024, vol. 637, issue C
Abstract:
Millionaires’ problem, as the most fundamental problem in secure multiparty computation (SMC), has attracted much attention in recent years. Blind millionaires’ problem, an extension of millionaires’ problem, enables to determine the size relationship of the secrets sum. In this paper, two practical quantum protocols based on rotation encryption and swap test are proposed, which can essentially solve the blind millionaires’ problem. To verify the correctness and feasibility, the proposed protocols are simulated on IBM Quantum Platform by designing the corresponding quantum circuits. Compared with the existing quantum solutions for the blind millionaires’ problem, the proposed protocols demonstrate improved performance in terms of feasibility and security, as they utilize Bell states, single-particle measurements, rotation operations and swap tests without necessitating the preparation of d-dimensional quantum states, the shift operation of d-dimensional quantum states, quantum Fourier transform, or the measurement of computational basis and Fourier basis. Security analysis demonstrates that the private data of each participant and the secrets sum remain confidential and undisclosed.
Keywords: Blind millionaires’ problem; Quantum secure multiparty computation (QSMC); Rotation encryption; Swap test (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437124001225
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:637:y:2024:i:c:s0378437124001225
DOI: 10.1016/j.physa.2024.129614
Access Statistics for this article
Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis
More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().