EDBT 2026 Demo / reviewers in the wild / expert
Markus P. Müller
dblp:166/1358 · also Markus P. Mueller
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Information theory › information measures › entropy
shannon entropy |
0.2 | 1 | 2016 | A Generalization of Majorization that Characterizes Shannon Entropy · IEEE Trans. Inf. Theory 2016 |
Quantum computing and quantum information
resource theory |
0.1 | 1 | 2016 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2016 | A Generalization of Majorization that Characterizes Shannon EntropyabstractWe 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. Theory | 1 |