Markus P. Müller

dblp:166/1358 · also Markus P. Mueller · DBLP profile ↗
← Back
1ranked-venue papers
1as first author
0since 2021 · last 2016
0000-0002-8086-5586ORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Theory of computation · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
1 paper
Information theory · 81% Quantum computing and quantum information · 19%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Information theory › information measures › entropy
shannon entropy
0.212016
A Generalization of Majorization that Characterizes Shannon Entropy · IEEE Trans. Inf. Theory 2016
Quantum computing and quantum information
resource theory
0.112016
A Generalization of Majorization that Characterizes Shannon Entropy · IEEE Trans. Inf. Theory 2016

Methods — techniques the papers use, named apart from their topics

resource theory · 0.2
YearPublicationVenuePosition
2016 A Generalization of Majorization that Characterizes Shannon Entropy
abstract
We introduce a binary relation on the finite discrete probability distributions, which generalizes notions of majorization that have been studied in quantum information theory. Motivated by questions in thermodynamics, our relation describes the transitions induced by bistochastic maps in the presence of additional auxiliary systems, which may become correlated in the process. We show that this relation is completely characterized by Shannon entropy H, which yields an interpretation of H in resource-theoretic terms, and admits a particularly simple proof of a known characterization of H in terms of natural information-theoretic properties.
Markus P. Müller, Michele Pastena
IEEE Trans. Inf. Theory1