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Quantum Error Correction Fault Tolerance
Quantum Machine Learning
Quantum Privacy-preserving Two-party Circle Intersection Protocol Based on Phase-encoded Query
arXiv
Authors: Zi-Xian Li, Qi Yang, Bao Feng, Wen-Jie Liu
Year
2023
Paper ID
54292
Status
Preprint
Abstract Read
~2 min
Abstract Words
125
Citations
N/A
Abstract
Privacy-preserving geometric intersection (PGI) is an important issue in Secure multiparty computation (SMC). The existing quantum PGI protocols are mainly based on grid coding, which requires a lot of computational complexity. The phase-encoded query method which has been used in some Quantum SMC protocols is suitable to solve the decision problem, but it needs to apply high dimensional Oracle operators. In this paper, we use the principle of phase-encoded query to solve an important PGI problem, namely privacy-preserving two-party circle intersection. We study the implementation of Oracle operator in detail, and achieve polynomial computational complexity by decompsing it into quantum arithmetic operations. Performance analysis shows that our protocol is correct and efficient, and can protect the privacy of all participants against internal and external attacks.
Why This Paper Matters
- This paper contributes to the Quantum Machine Learning research area in the Quantum Articles archive.
- It adds a 2023 reference point for readers tracking recent quantum research.
- Privacy-preserving geometric intersection (PGI) is an important issue in Secure multiparty computation (SMC).
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