Quantum Entanglement-Based Secure Differential Privacy

Jincheng Zhang

Published Aug 28, 2026• 0 citations

Abstract

This paper presents a novel approach to achieving secure differential privacy utilizing the unique properties of quantum entanglement. We propose a quantum key distribution (QKD) protocol where the inherent noise within the entangled state itself serves as a mechanism for guaranteeing differential privacy. Unlike traditional cryptographic methods that rely on computational assumptions, our approach leverages the fundamental randomness of quantum mechanics. The core idea is that the statistical fluctuations observed in the measurement of entangled pairs provide a natural perturbation, effectively masking individual data points while preserving the overall statistical properties of the dataset. The protocol is designed to be provably secure, offering a stronger security guarantee than classical differential privacy techniques. We formalize this approach with mathematical equations, outlining the key components and their impact on privacy. The research contributes a new paradigm for privacy preservation, potentially offering a path towards highly secure and robust data analysis in the quantum era.

DOI: 10.5281/zenodo.22137972

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