activity
20182022
most citedFrom asymptotic hypothesis testing to entropy inequalities

2 citations · 2 across the 2 of their papers we have counts for

collaborators

7 papers

cs.IT2022

Sequential Quantum Channel Discrimination

Yonglong Li, Christoph Hirche, Marco Tomamichel

We consider the sequential quantum channel discrimination problem using adaptive and non-adaptive strategies. In this setting the number of uses of the underlying quantum channel i…

quant-ph2020

Quantum Sequential Hypothesis Testing

Esteban Martínez-Vargas, Christoph Hirche, Gael Sentís +4

We introduce sequential analysis in quantum information processing, by focusing on the fundamental task of quantum hypothesis testing. In particular our goal is to discriminate bet…

cs.IT2020

Rényi Bounds on Information Combining

Christoph Hirche

Bounds on information combining are entropic inequalities that determine how the information, or entropy, of a set of random variables can change when they are combined in certain…

quant-ph2020

Discrimination and estimation of incoherent sources under misalignment

J. O. de Almeida, J. Kołodyński, C. Hirche +2

Spatially resolving two incoherent point sources whose separation is well below the diffraction limit dictated by classical optics has recently been shown possible using techniques…

quant-ph20182 cited

From asymptotic hypothesis testing to entropy inequalities

Christoph Hirche

This thesis addresses the interplay between asymptotic hypothesis testing and entropy inequalities in quantum information theory. In the first part of the thesis we focus on hypoth…

quant-ph2018

Convexity and Operational Interpretation of the Quantum Information Bottleneck Function

Nilanjana Datta, Christoph Hirche, Andreas Winter

In classical information theory, the information bottleneck method (IBM) can be regarded as a method of lossy data compression which focusses on preserving meaningful (or relevant)…