We present an industrial end-user perspective on the current state of quantum computing
hardware for one specific technological approach, the neutral atom platform. Our aim is to …

Hyperparameter optimization (HPO) and neural architecture search (NAS) of machine
learning (ML) models are in the core implementation steps of AI-enabled systems. With multi …

The Metaverse is a connected virtual space that has recently emerged as a new frontier for
human interaction and experiences. For ideal immersive Metaverse experiences, perpetual …

Generative models realized with Machine Learning (ML) techniques are powerful tools to
infer complex and unknown data distributions from a finite number of training samples in …

Quantum computers (QCs), which work based on the law of quantum mechanics, are
expected to be faster than classical computers in several computational tasks such as prime …

We present a protocol for encoding N real numbers stored in N memory registers into the
amplitudes of the quantum superposition that describes the state of log 2 N qubits. This task …

Hybrid quantum-classical classifiers promise to positively impact critical aspects of natural
language processing tasks, particularly classification-related ones. Among the possibilities …

Problem instances of a size suitable for practical applications are not likely to be addressed
during the noisy intermediate‐scale quantum (NISQ) period with (almost) pure quantum …

Noisy intermediate-scale quantum (NISQ) devices are nowadays starting to become
available to the final user, hence potentially allowing the quantum speedups predicted by …

Motivated by the growing threat of distributed denial-of-service (DDoS) attacks and the
emergence of quantum computing, this study introduces a novel “quanvolutional …