aiqbench analysis
This research establishes sharp bounds on quantum data hiding, demonstrating how much distinguishing power is lost when global measurements are restricted to local operations and classical communication (LOCC). The study provides explicit finite-round LOCC implementations for the largest centered Schatten p-balls in bipartite systems, refining classic separable-ball theorems. These findings advance fundamental limits on information encoding within quantum networks under locality constraints.
On Optimal Quantum Data Hiding and Maximal Separable Ball
arXiv:2608.06308v1 Announce Type: new Abstract: Quantum data hiding asks how much distinguishing power can be lost when global measurements are restricted to local measurements and classical communication. In this work, we establish sharp results and improved bounds for several natural classes of restricted measurements. For bipartite systems on $\mathbb C^n\otimes\mathbb C^m$, we prove that the optimal data-hiding ratios against separable and LOCC measurements are both $\min\{n,m\}$. This result follows from a stronger result that, for every $2\le p\le\infty$, the largest centered Schatten $p$-ball whose associated binary measurements are implementable by finite-round LOCC has radius $\min\{n,m\}^{2/p-1}$. This strengthens the classic separable-ball theorems, while also providing an explicit finite-round LOCC implementation. For Alice-first one-way LOCC with Alice's local dimension equal to $n$, we prove that the optimal ratio is $(1+o(1))n$, with the upper bound obtained from a Gaussian rank-one POVM. For local operations without communication, we improve the universal upper bound to $(\pi\sqrt3/4+o(1))\min\{n,m\}$.
Abstract:Quantum data hiding asks how much distinguishing power can be lost when global measurements are restricted to local measurements and classical communication. In this work, we establish sharp results and improved bounds for several natural classes of restricted measurements. For bipartite systems on $\mathbb C^n\otimes\mathbb C^m$, we prove that the optimal data-hiding ratios against separable and LOCC measurements are both $\min\{n,m\}$. This result follows from a stronger result that, for every $2\le p\le\infty$, the largest centered Schatten $p$-ball whose associated binary measurements are implementable by finite-round LOCC has radius $\min\{n,m\}^{2/p-1}$. This strengthens the classic separable-ball theorems, while also providing an explicit finite-round LOCC implementation. For Alice-first one-way LOCC with Alice's local dimension equal to $n$, we prove that the optimal ratio is $(1+o(1))n$, with the upper bound obtained from a Gaussian rank-one POVM. For local operations without communication, we improve the universal upper bound to $(\pi\sqrt3/4+o(1))\min\{n,m\}$.
arXiv:2608.06308 [quant-ph]
(or arXiv:2608.06308v1 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2608.06308 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.
Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.
Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
Full text under the publisher's open licence · 237 words
Related coverage

The Alignment Problem: Computer Science Meets Analytic Philosophy
AI Alignment Forum · Oct 18, 2026
Problems of Proliferation
LessWrong · Sep 29, 2026

NVIDIA’s EPD for multimodal AI
Quantum Zeitgeist · Sep 10, 2026
News Archive 2026
Quantum Computing Report · Jul 25, 2026