We discuss information-theoretic concepts on infinite-dimensional quantum systems. In particular, we lift the smooth entropy formalism as introduced by Renner and collaborators for finite-dimensional systems to von Neumann algebras. For the smooth conditional min- and max-entropy, we recover similar characterizing properties and information-theoretic operational interpretations as in the finite-dimensional case. We generalize the entropic uncertainty relation with quantum side information of Tomamichel and Renner and discuss applications to quantum cryptography. In particular, we prove the possibility to perform privacy amplification and classical data compression with quantum side information modeled by a von Neumann algebra
This book provides the reader with the mathematical framework required to fully explore the potentia...
Given the algebra of observables of a quantum system subject to selection rules, a state can be repr...
Quantum information measures such as the entropy and the mutual information find applications in phy...
We discuss information-theoretic concepts on infinite-dimensional quantum systems. In particular, we...
This thesis consolidates, improves and extends the smooth entropy framework for non-asymptotic infor...
We consider an extension of the conditional min- and max-entropies to infinite-dimensional separable...
Information entropy, the expected amount of information produced by a random data source, has been a...
A notion of entropy of a normal state on a finite von Neumann algebra in Segal’s sense is considere...
The von Neumann entropy plays a vital role in quantum information theory. As the Shannon entropydoe...
The present work is an introductory study about entropy its properties and its role in quantum infor...
Entropies have been immensely useful in information theory. In this Thesis, several results in quan...
One of the predominant challenges when engineering future quantum information processors is that lar...
The Rényi entropies constitute a family of information measures that generalizes the well-known Shan...
Since the introduction of the (smooth) min- and max-entropy, various results have affirmed their fun...
htmlabstractThe Rényi entropies constitute a family of information measures that generalizes the wel...
This book provides the reader with the mathematical framework required to fully explore the potentia...
Given the algebra of observables of a quantum system subject to selection rules, a state can be repr...
Quantum information measures such as the entropy and the mutual information find applications in phy...
We discuss information-theoretic concepts on infinite-dimensional quantum systems. In particular, we...
This thesis consolidates, improves and extends the smooth entropy framework for non-asymptotic infor...
We consider an extension of the conditional min- and max-entropies to infinite-dimensional separable...
Information entropy, the expected amount of information produced by a random data source, has been a...
A notion of entropy of a normal state on a finite von Neumann algebra in Segal’s sense is considere...
The von Neumann entropy plays a vital role in quantum information theory. As the Shannon entropydoe...
The present work is an introductory study about entropy its properties and its role in quantum infor...
Entropies have been immensely useful in information theory. In this Thesis, several results in quan...
One of the predominant challenges when engineering future quantum information processors is that lar...
The Rényi entropies constitute a family of information measures that generalizes the well-known Shan...
Since the introduction of the (smooth) min- and max-entropy, various results have affirmed their fun...
htmlabstractThe Rényi entropies constitute a family of information measures that generalizes the wel...
This book provides the reader with the mathematical framework required to fully explore the potentia...
Given the algebra of observables of a quantum system subject to selection rules, a state can be repr...
Quantum information measures such as the entropy and the mutual information find applications in phy...