4 papers
A complete characterisation of conditional entropies
Roberto Rubboli, Erkka Haapasalo, Marco Tomamichel
Entropies are fundamental measures of uncertainty with central importance in information theory and statistics and applications across all the quantitative sciences. Under a natura…
The strong converse exponent of composable randomness extraction against quantum side information
Roberto Rubboli, Marco Tomamichel
We find a tight characterization of the strong converse exponent for randomness extraction against quantum side information. In contrast to previous tight bounds, we employ a compo…
Testing (Conditional) Mutual Information
Jan Seyfried, Sayantan Sen, Marco Tomamichel
We investigate the sample complexity of mutual information and conditional mutual information testing. For conditional mutual information testing, given access to independent sampl…
Umlaut information
Filippo Girardi, Aadil Oufkir, Bartosz Regula +3
The sphere-packing bound quantifies the error exponent for noisy channel coding for rates above a critical value. Here, we study the zero-rate limit of the sphere-packing bound and…