Common information is ubiquitous in information theory and related areas such as
theoretical computer science and discrete probability. However, because there are multiple …

One-shot channel simulation (or channel synthesis) has seen increasing applications in
lossy compression, differential privacy and machine learning. In this setting, an encoder …

The task of manipulating correlated random variables in a distributed setting has received
attention in the fields of both Information Theory and Computer Science. Often shared …

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 conventional channel resolvability problem refers to the determination of the minimum
rate required for an input process so that the output distribution approximates a target …

We consider the redundancy of the exact channel synthesis problem under an iid
assumption. Existing results provide an upper bound on the unnormalized redundancy that …

Recently, two extensions of Wyner's common information-exact and Rényi common
informations-were introduced respectively by Kumar, Li, and El Gamal (KLE), and the …

Channel simulation is to simulate a noisy channel using noiseless channels with unlimited
shared randomness. This can be interpreted as the reverse problem to Shannon's noisy …

We consider the rate-limited quantum-to-classical optimal transport in terms of output-
constrained rate-distortion coding for both finite-dimensional and continuous-variable …

The concept of information intelligence encompasses various aspects such as information
and communication skills, information literacy, information behavior, individual and …