We prove that the entanglement cost equals the regularized entanglement of formation for any infinite-dimensional quantum state $\rho_ {AB} $ with finite quantum entropy on at least …
We show that Frenkel's integral representation of the quantum relative entropy provides a natural framework to derive continuity bounds for quantum information measures. Our main …
We give systematic ways of defining monotone quantum relative entropies and (multi- variate) quantum Rényi divergences starting from a set of monotone quantum relative …
A Jenčová - Letters in Mathematical Physics, 2024 - Springer
A quantum channel is sufficient with respect to a set of input states if it can be reversed on this set. In the approximate version, the input states can be recovered within an error …
P Belzig, L Gao, G Smith, P Wu - arXiv preprint arXiv:2411.19890, 2024 - arxiv.org
The quantum data processing inequality states that two quantum states become harder to distinguish when a noisy channel is applied. On the other hand, a reverse quantum data …
S Sreekumar, M Berta - IEEE Transactions on Information …, 2024 - ieeexplore.ieee.org
Estimation of quantum relative entropy and its Rényi generalizations is a fundamental statistical task in quantum information theory, physics, and beyond. While several estimators …
G Koßmann, MM Wilde - arXiv preprint arXiv:2410.16362, 2024 - arxiv.org
This paper introduces a method for calculating the quantum relative entropy of channels, an essential quantity in quantum channel discrimination and resource theories of quantum …
G Koßmann, R Schwonnek - arXiv preprint arXiv:2411.04858, 2024 - arxiv.org
This paper introduces a numerical framework for establishing lower bounds on the conditional von-Neumann entropy in device-independent quantum cryptography and …
G Koßmann, R Schwonnek - arXiv preprint arXiv:2404.17016, 2024 - arxiv.org
Finding the minimal relative entropy of two quantum states under semi definite constraints is a pivotal problem located at the mathematical core of various applications in quantum …