Robustness of quantum data hiding against entangled catalysts and memory
Aby Philip, Alexander Streltsov

TL;DR
This paper explores the robustness of quantum data hiding against advanced quantum resources, showing that separable hiding states remain secure while entangled states can be distinguished with quantum memory.
Contribution
It introduces a unified framework for state discrimination with catalysts and memory, proving separable states are robust against such resources and highlighting the vulnerability of some entangled states.
Findings
Separable states are robust against catalysts and memory.
Quantum memory can nearly perfectly discriminate some entangled states.
The framework unifies catalytic and memory-assisted discrimination protocols.
Abstract
Quantum data hiding stores classical information in bipartite quantum states that are, in principle, perfectly distinguishable, yet remain almost indistinguishable without access to a quantum communication channel. Here, we investigate whether this limitation can be overcome when the communicating parties are assisted by additional quantum resources. We develop a general framework for state discrimination that unifies catalytic and memory-assisted local discrimination protocols and analyze their power to reveal hidden information. We prove that when the hiding states are separable, neither entangled catalysts nor quantum memory can increase the optimal discrimination probability, establishing the robustness of separable data-hiding schemes. In contrast, for some entangled states, a reusable quantum memory turns locally indistinguishable states into ones that can be discriminated almost…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsQuantum Information and Cryptography · Quantum Mechanics and Applications · Quantum Computing Algorithms and Architecture
