This paper addresses two fundamental problems in diffusive molecular
com...
In this paper, we delve into the capacity problem of additive
vertically...
In this paper, we prove a lower bound on the soundness of quantum locall...
We introduce and analyse approximate quantum secret sharing in a formal
...
Distributed source simulation is the task where two (or more) parties sh...
Factorization Machine (FM) is the most commonly used model to build a
re...
The noisy intermediate-scale quantum (NISQ) devices enable the implement...
Quantum computers are next-generation devices that hold promise to perfo...
Variational quantum circuits have been widely employed in quantum simula...
In [1], the impulse response of the first arrival position (FAP) channel...
A locally testable code (LTC) is an error correcting code with a propert...
We consider the problem of characterizing the first arrival position (FA...
Entropy is a fundamental property of both classical and quantum systems,...
We utilize a concatenation scheme to construct new families of quantum e...
Training quantum neural networks (QNNs) using gradient-based or gradient...
We solve the entanglement-assisted (EA) classical capacity region of qua...
In many quantum channels, dephasing errors occur more frequently than th...
Quantum error mitigation techniques are at the heart of quantum computat...
Quantum machine learning is expected to be one of the first practical
ap...
Differentially private (DP) learning, which aims to accurately extract
p...
Noise in quantum information processing is often viewed as a disruptive ...
In this paper, we present a new framework to obtain tail inequalities fo...
We present an efficient quantum algorithm aiming to find the negative
cu...
A wide range of fundamental machine learning tasks that are addressed by...
The exploration of quantum algorithms that possess quantum advantages is...
The 2-receiver broadcast channel is studied: a network with three partie...
In classical machine learning, a set of weak classifiers can be adaptive...
The vicinal risk minimization (VRM) principle, first proposed by
vapnik1...
The scaled Rényi information plays a significant role in evaluating the
...
Parameterized quantum circuits (PQCs) have been broadly used as a hybrid...
In this paper, we establish an interesting duality between two different...
We study the communication capabilities of a quantum channel under the m...
In this Letter, we propose a quantum machine learning scheme for the
cla...
In this paper, we study tail inequalities of the largest eigenvalue of a...
In this paper, we analyze classical data compression with quantum side
i...
In practical communication and computation systems, errors occur
predomi...
Quantum machine learning has received significant attention in recent ye...