Saved in:
Bibliographic Details
Main Author: Yoshida, Yuuya
Format: Preprint
Published: 2026
Subjects:
Online Access:https://arxiv.org/abs/2605.27278
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866910261312487424
author Yoshida, Yuuya
author_facet Yoshida, Yuuya
contents We optimize the trade-off between privacy and utility in the high-privacy regime. We adopt local differential privacy (LDP) and its quantum extension, quantum local differential privacy (QLDP), for privacy protection, and investigate utility functions including the Holevo information (which reduces to the mutual information in the classical case) and the error exponents in symmetric and asymmetric hypothesis testing. These utility functions have classical and quantum optimal values, which are denoted by $C$ and $Q$, respectively, in this abstract for simplicity. In this paper, we provide optimal LDP and QLDP mechanisms achieving the classical and quantum optimal values in the high-privacy regime, and prove that the asymptotic ratio $Q/C$ in this regime takes the same value regardless of the utility function. Our results reveal quantum advantages (more precisely, $Q/C\ge3/2$) for the above utility functions when the protected private data are $n$-ary with $n\ge3$.
format Preprint
id arxiv_https___arxiv_org_abs_2605_27278
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Optimal quantum locally differentially private mechanisms in the high-privacy regime
Yoshida, Yuuya
Quantum Physics
Information Theory
Primary 81P45, Secondary 49J50 68R01 68R05 62B10
We optimize the trade-off between privacy and utility in the high-privacy regime. We adopt local differential privacy (LDP) and its quantum extension, quantum local differential privacy (QLDP), for privacy protection, and investigate utility functions including the Holevo information (which reduces to the mutual information in the classical case) and the error exponents in symmetric and asymmetric hypothesis testing. These utility functions have classical and quantum optimal values, which are denoted by $C$ and $Q$, respectively, in this abstract for simplicity. In this paper, we provide optimal LDP and QLDP mechanisms achieving the classical and quantum optimal values in the high-privacy regime, and prove that the asymptotic ratio $Q/C$ in this regime takes the same value regardless of the utility function. Our results reveal quantum advantages (more precisely, $Q/C\ge3/2$) for the above utility functions when the protected private data are $n$-ary with $n\ge3$.
title Optimal quantum locally differentially private mechanisms in the high-privacy regime
topic Quantum Physics
Information Theory
Primary 81P45, Secondary 49J50 68R01 68R05 62B10
url https://arxiv.org/abs/2605.27278