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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.

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