Quantum Privacy-Preserving Price E-Negotiation

September 24, 2023 Β· Declared Dead Β· πŸ› International Journal of Theoretical Physics

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Authors Wen-Jie Liu, Chun-Tang Li, Yu Zheng, Yong Xu, Yin-Song Xu arXiv ID 2309.13668 Category quant-ph: Quantum Computing Cross-listed cs.CR, cs.ET Citations 7 Venue International Journal of Theoretical Physics Last Checked 5 months ago
Abstract
Privacy-preserving price e-negotiation (3PEN) is an important topic of secure multi-party computation (SMC) in the electronic commerce field, and the key point of its security is to guarantee the privacy of seller's and buyer's prices. In this study, a novel and efficient quantum solution to the 3PEN problem is proposed, where the oracle operation and the qubit comparator are utilized to obtain the comparative results of buyer's and seller's prices, and then quantum counting is executed to summarize the total number of products which meets the trading conditions. Analysis shows that our solution not only guarantees the correctness and the privacy of 3PEN, but also has lower communication complexity than those classical ones.
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