The mutual information is analyzed as a function of the input distributi...
We show that the communication cost of quantum broadcast channel simulat...
Convex splitting is a powerful technique in quantum information theory u...
In maximum-likelihood quantum state tomography, both the sample size and...
Consider an online convex optimization problem where the loss functions ...
Achievability in information theory refers to demonstrating a coding str...
We study quantum soft covering and privacy amplification against quantum...
How well can we approximate a quantum channel output state using a rando...
We establish a one-shot strong converse bound for privacy amplification
...
We propose an iterative algorithm that computes the maximum-likelihood
e...
Quantum information quantities play a substantial role in characterizing...
The existence of a unique Augustin mean and its invariance under the Aug...
In this paper, we study the problem of learning quantum circuits of a ce...
A strong converse bound for constant composition codes of the form
P_e^(...
We consider the transmission of classical information through a degraded...
We consider a distributed quantum hypothesis testing problem with
commun...
The scaled Rényi information plays a significant role in evaluating the
...
In this paper, we establish an interesting duality between two different...
In this paper, we analyze classical data compression with quantum side
i...
Quantum machine learning has received significant attention in recent ye...