Neutral atom quantum computing hardware: performance and end-user perspective
K Wintersperger, F Dommert, T Ehmer… - EPJ Quantum …, 2023 - epjqt.epj.org
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 …
hardware for one specific technological approach, the neutral atom platform. Our aim is to …
SoK: quantum computing methods for machine learning optimization
H Baniata - Quantum Machine Intelligence, 2024 - Springer
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 …
learning (ML) models are in the core implementation steps of AI-enabled systems. With multi …
Quantum semantic communications for metaverse: Principles and challenges
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 …
human interaction and experiences. For ideal immersive Metaverse experiences, perpetual …
Quantum‐Noise‐Driven Generative Diffusion Models
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 …
infer complex and unknown data distributions from a finite number of training samples in …
A comprehensive survey on quantum computer usage: How many qubits are employed for what purposes?
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 …
expected to be faster than classical computers in several computational tasks such as prime …
Quantum state preparation protocol for encoding classical data into the amplitudes of a quantum information processing register's wave function
S Ashhab - Physical Review Research, 2022 - APS
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 …
amplitudes of the quantum superposition that describes the state of log 2 N qubits. This task …
Quantum transfer learning for acceptability judgements
Hybrid quantum-classical classifiers promise to positively impact critical aspects of natural
language processing tasks, particularly classification-related ones. Among the possibilities …
language processing tasks, particularly classification-related ones. Among the possibilities …
Quantum neural networks for a supply chain logistics application
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 …
during the noisy intermediate‐scale quantum (NISQ) period with (almost) pure quantum …
Quantum noise sensing by generating fake noise
Noisy intermediate-scale quantum (NISQ) devices are nowadays starting to become
available to the final user, hence potentially allowing the quantum speedups predicted by …
available to the final user, hence potentially allowing the quantum speedups predicted by …
Quantum-Enhanced Representation Learning: A Quanvolutional Autoencoder Approach against DDoS Threats
Motivated by the growing threat of distributed denial-of-service (DDoS) attacks and the
emergence of quantum computing, this study introduces a novel “quanvolutional …
emergence of quantum computing, this study introduces a novel “quanvolutional …