The potential synergy between quantum communications and future wireless
communication systems is explored. By proposing a quantum-native or quantum-by-design …

We study a variant of a robust description source coding framework, which is a relevant
model for goal-oriented semantic information transmission, via its corresponding …

We study channel simulation under common randomness assistance in the finite-
blocklength regime and identify the smooth channel max-information as a linear program …

The ability to extract relevant information is critical to learning. An ingenious approach as
such is the information bottleneck, an optimisation problem whose solution corresponds to a …

We formulate em algorithm in the framework of Bregman divergence, which is a general
problem setting of information geometry. That is, we address the minimization problem of the …

Quantum relative entropy programs are convex optimization problems which minimize a
linear functional over an affine section of the epigraph of the quantum relative entropy …

Determining capacities of quantum channels is a fundamental question in quantum
information theory. Despite having rigorous coding theorems quantifying the flow of …

As the title indicates, this chapter presents a brief, self-contained introduction to five
fundamental problems in quantum information science (QIS) that are especially well suited …

We consider the additional entropy production (EP) incurred by a fixed quantum or classical
process on some initial state ρ, above the minimum EP incurred by the same process on any …

Understanding quantum channels and the strange behavior of their capacities is a key
objective of quantum information theory. Here we study a remarkably simple, low …