Quantum physics has changed the way we understand our environment, and one of its
branches, quantum mechanics, has demonstrated accurate and consistent theoretical …

The quantum internet is a cutting‐edge paradigm that uses the unique characteristics of
quantum technology to radically alter communication networks. This new network type is …

Multiclass classification is of great interest for various applications, for example, it is a
common task in computer vision, where one needs to categorize an image into three or …

Hybrid quantum machine learning (QML) algorithms have potentials for current quantum
computing technologies since only part of the model is computed by a quantum device. This …

Quantum neural network (QNN) is a neural network model based on the principles of
quantum mechanics. The advantages of faster computing speed, higher memory capacity …

In noisy intermediate-scale quantum era, the research on the combination of artificial
intelligence and quantum computing has been greatly developed. Here we propose a …

Many recent machine learning tasks resort to quantum computing to improve classification
accuracy and training efficiency by taking advantage of quantum mechanics, known as …

This paper introduces the Hybrid Quantum Deep Neural Network (HQDNN), a pioneering
model that amalgamates classical Convolutional Neural Network (CNN) architecture with …

As a generalized quantum machine learning model, parameterized quantum circuits (PQC)
have been found to perform poorly in terms of classification accuracy and model scalability …

The interaction between machine learning and quantum physics has given rise to an
emerging frontier of quantum machine learning research. In this line, quantum classifiers …