activity
20242026
collaborators

7 papers

quant-ph2026

Quantum estimation, channel orders, and private capacity

Christoph Hirche

Recent examples have shown that zero private capacity need not imply antidegradability and that two channels with zero private capacity can nevertheless transmit private informatio…

quant-ph2026

The exact strong converse exponent for private communication over quantum channels

Hao-Chung Cheng, Christoph Hirche, Marco Tomamichel

We determine the exact strong converse exponent for secret-key transmission and generation over general finite-dimensional quantum wiretap channels, measuring reliability and secre…

quant-ph2026

Conditional contraction coefficients and their applications to quantum networks

Christoph Hirche, Ian George, Theshani Nuradha +1

Contraction coefficients quantify the loss of distinguishability induced by a channel and provide a strong form of the data-processing inequality. While standard contraction coeffi…

cs.IT2026

Information Contraction under -Differentially Private Mechanisms

Theshani Nuradha, Ian George, Christoph Hirche

The distinguishability quantified by information measures after being processed by a private mechanism has been a useful tool in studying various statistical and operational tasks…

quant-ph2025

Non-Linear Strong Data-Processing for Quantum Hockey-Stick Divergences

Theshani Nuradha, Ian George, Christoph Hirche

Data-processing is a desired property of classical and quantum divergences and information measures. In information theory, the contraction coefficient measures how much the distin…

quant-ph2025

Quantum Doeblin Coefficients: Interpretations and Applications

Ian George, Christoph Hirche, Theshani Nuradha +1

In classical information theory, the Doeblin coefficient of a classical channel provides an efficiently computable upper bound on the total-variation contraction coefficient of the…

quant-ph2024

Quantum Doeblin coefficients: A simple upper bound on contraction coefficients

Christoph Hirche

Contraction coefficients give a quantitative strengthening of the data processing inequality. As such, they have many natural applications whenever closer analysis of information p…