Privacy-Preserving Quantum Two-Party Geometric Intersection
Wen-Jie Liu, Yong Xu, James C. N. Yang, Wen-Bin Yu, and Lian-Hua Chi

TL;DR
This paper introduces a quantum protocol for privacy-preserving geometric intersection that enhances security and reduces communication complexity compared to classical methods, enabling two parties to determine graph intersection without revealing private data.
Contribution
The paper presents a novel quantum two-party protocol for geometric intersection that improves security and efficiency over classical approaches.
Findings
Higher security than classical protocols
Lower communication complexity
Effective quantum counting method
Abstract
Privacy-preserving computational geometry is the research area on the intersection of the domains of secure multi-party computation (SMC) and computational geometry. As an important field, the privacy-preserving geometric intersection (PGI) problem is when each of the multiple parties has a private geometric graph and seeks to determine whether their graphs intersect or not without revealing their private information. In this study, through representing Alice's (Bob's) private geometric graph G_A (G_B) as the set of numbered grids S_A (S_B), an efficient privacy-preserving quantum two-party geometric intersection (PQGI) protocol is proposed. In the protocol, the oracle operation O_A (O_B) is firstly utilized to encode the private elements of S_A=(a_0, a_1, ..., a_(M-1)) (S_B=(b_0, b_1, ..., b_(N-1))) into the quantum states, and then the oracle operation O_f is applied to obtain a new…
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