Quantum Information Ordering and Differential Privacy
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Abstract (arXiv)
We study quantum differential privacy (QDP) by defining a notion of the order of informativeness between two pairs of quantum states. In particular, we show that if the hypothesis testing divergence of the one pair dominates over that of the other pair, then this dominance holds for every f-divergence. This approach completely characterizes (varepsilon,δ)-QDP mechanisms by identifying the most informative (varepsilon,δ)-DP quantum state pairs. We apply this to study precise limits for privatized hypothesis testing and privatized quantum parameter estimation, including tight upper-bounds on the quantum Fisher information under QDP. Finally, we establish near-optimal contraction bounds for differentially private quantum channels with respect to the Hockey-Stick divergence.
Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 5 of its 33 references that are in the map. First posted on arXiv 3 Nov 2025.
Builds on
5 of 33 references.
References · 5
- 2020Quantum noise protects quantum classifiers against adversariescited by 68
- 2022Quantum Differential Privacy: An Information Theory Perspectivecited by 32
- 2022Quantum Local Differential Privacy and Quantum Statistical Query Modelcited by 12
- 2023Quantum Pufferfish Privacy: A Flexible Privacy Framework for Quantum Systemscited by 9
- 2024Contraction of Private Quantum Channels and Private Quantum Hypothesis Testingcited by 7
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Citing papers per year: 2025: 1; 2026: 2.
3 papers.