Quantum computers are next-generation devices that hold promise to perform calculations
beyond the reach of classical computers. A leading method towards achieving this goal is …

The concept of the Human Digital Twin (HDT) has recently emerged as a new research area
within the domain of digital twin technology. HDT refers to the replica of a physical-world …

Quantum Computing (QC) claims to improve the efficiency of solving complex problems,
compared to classical computing. When QC is integrated with Machine Learning (ML), it …

Recent advancements have highlighted the limitations of current quantum systems,
particularly the restricted number of qubits available on near-term quantum devices. This …

A comprehensive coverage of the state-of-the-art in quantum machine learning (QML)
methodologies, with a unique perspective on their applications for wireless communications …

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

Quantum cloud computing is an emerging paradigm of computing that empowers quantum
applications and their deployment on quantum computing resources without the need for a …

Through the years, the market for mobile devices has been rapidly increasing, and as a
result of this trend, mobile malware has become sophisticated. Researchers are focused on …

Quantum Convolutional Neural Network (QCNN) has achieved significant success in solving
various complex problems, such as quantum many-body physics and image recognition. In …

Monte Carlo integration is a widely used numerical method for approximating integrals,
which is often computationally expensive. In recent years, quantum computing has shown …