With the increasing amount of digital data generated by Arabic speakers, the need for
effective and efficient document classification techniques is more important than ever. In …

Quantum Machine Learning: Exploring Quantum Algorithms for Enhancing Deep Learning
Models Page 1 International Journal of Advanced Engineering Research and Science (IJAERS) …

Quantum computing and machine learning (ML) have received significant developments
which have set the stage for the next frontier of creative work and usefulness. This paper …

We introduce a new model in quantum machine learning (QML) that combines the strengths
of existing quantum kernel SVM (QK-SVM) and quantum variational SVM (QV-SVM) …

Context The emergence of 6 G technology heralds a groundbreaking era in digital
connectivity, envisaging universal and seamless links. To address the intricate …

This chapter delves into the transformative intersection of artificial intelligence (AI), Industrial
Internet of Things (IIoT), and data analytics within the context of emerging Industry 6.0. As …

This work explores the potential of PennyLane and variational quantum-classical algorithms
(VQCA) to forecast lung cancer using a structured dataset. The VQCA model performs …

Quantum computing, a transformative field that emerged from quantum mechanics and
computer science, has gained immense attention for its potential to revolutionize …

This review paper examines the crucial role of nanowires in the field of quantum computing,
highlighting their importance as versatile platforms for qubits and vital building blocks for …

Quantum Computing (QC) is hailed as the future of computers. After Google's claim of
achieving Quantum Supremacy in 2019, several groups challenged the claim. Some QC …