Quantum Advantage for Two-Party Differential Privacy
Abstract
We introduce information-theoretically private quantum protocols for two-party Hamming distance when both parties must output the same estimate. Classically, for input length $n$, information-theoretic protocols require $Ω(\sqrt{n})$ error under pure differential privacy and $Ω(\sqrt{n}/\log n)$ error under strong approximate differential privacy, whereas computational security permits $O(1)$ error. In Klauck's honest, nonpreemptive, message-preserving model, we give an $O(n)$-communication quan...
Description / Details
We introduce information-theoretically private quantum protocols for two-party Hamming distance when both parties must output the same estimate. Classically, for input length , information-theoretic protocols require error under pure differential privacy and error under strong approximate differential privacy, whereas computational security permits error. In Klauck's honest, nonpreemptive, message-preserving model, we give an -communication quantum protocol with pure quantum differential privacy (QDP) and expected error at most , for every . For approximate QDP, an exact hockey-stick divergence calculation yields strictly smaller error, while preserving the -versus- separation for . Thus, quantum communication achieves information-theoretic error, matching the accuracy available classically only under computational assumptions. The main construction uses a guarded coherent round trip and an equal-Gram rigidity principle that prevents an honest player from retaining input-dependent complementary information. We separate this model from weaker prescribed-channel privacy, which already admits an exact classical realization, and from fully retention-robust security, against which measurement-and-abort attacks remain possible. Therefore, we identify preservation of non-orthogonal quantum messages as a resource for privacy.
Source: arXiv:2610.02113v1 - http://arxiv.org/abs/2610.02113v1 PDF: https://arxiv.org/pdf/2610.02113v1 Original Link: http://arxiv.org/abs/2610.02113v1
Please sign in to join the discussion.
No comments yet. Be the first to share your thoughts!
Oct 3, 2026
Computer Science
Cybersecurity
0