https://doi.org/10.1140/epjqt/s40507-025-00356-z
Research
Quantum secure multiparty multiplication based on d-level single particles
1
College of Computer Science and Technology, Chongqing University of Posts and Telecommunications, 400065, Chongqing, China
2
School of Cyber Security and Information Law, Chongqing University of Posts and Telecommunications, 400065, Chongqing, China
a
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Received:
2
January
2025
Accepted:
28
April
2025
Published online:
31
December
2025
The quantum secure multiparty multiplication (QSMM) protocol aims to leverage the advantages of quantum computing to ensure data privacy and security in multiparty computation, preventing information from being leaked and protecting privacy against malicious attacks. However, current QSMM protocols suffer from high resource consumption and computation complexity in particle preparation and participant computation stages. In view of this, a QSMM protocol based on single particles is proposed in this paper. The proposed protocol utilizes high-dimensional single particles as information carriers, and the optimized quantum multiplication circuit is employed to embed the participants’ secret message and perform the multiplication. All participants collaboratively generate a blind matrix, and each column product of the blind matrix acts as the participant’s private key for the blinding of the secret value. Unlike other protocols that use decoy particles for eavesdropping detection, the proposed protocol leverages the properties of mutually unbiased basis particles to ensure its security, while reducing quantum resource consumption and the quantum capabilities required from the participants. Security analysis demonstrates that the proposed protocol can effectively resist attacks from external eavesdroppers and internal participants, and performance analysis shows that the proposed protocol achieves superior execution efficiency compared to other similar protocols.
Key words: Quantum Secure Multiparty Multiplication / Unbiased Basis Particles / Quantum Circuit
© The Author(s) 2025
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