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arXiv:1812.07107 · Quantum Information Processing

Teleportation-based quantum homomorphic encryption scheme with quasi-compactness and perfect security

Min Liang

Published Dec 2, 2019• 40 citations
arXivHTMLPDF
DOI
10.1007/s11128-019-2529-6

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Quantum machine learning in cloud environments requires protecting sensitive data while enabling remote computation. Here we demonstrate the first realistic implementations of a perfectly-secure quantum homomorphic encryption (QHE) scheme applied to quantum neural networks (QNN). Using efficient Clifford+TTT decomposition, we implement quantum convolutional neural networks for two complementary scenarios: (i) reverse delegated training, where encrypted data from multiple providers trains a user's network via federated aggregation; (ii) private inference, where users process encrypted data with remote quantum networks. Moreover, analysis of server circuit privacy reveals probabilistic model protection through Pauli gate concealment. These results establish perfectly-secure QHE as a practical framework for multi-party quantum machine learning.