Computational complexities in modern power systems are reportedly increasing daily, and it is anticipated that traditional computers might be inadequate to provide the computation …
Context The current technology revolution has posed unexpected challenges for the software industry. In recent years, the field of quantum computing (QC) technologies has …
The past decade has witnessed significant advancements in quantum hardware, encompassing improvements in speed, qubit quantity, and quantum volume—a metric …
M Franz, L Wolf, M Periyasamy, C Ufrecht… - Journal of The Franklin …, 2023 - Elsevier
Abstract Deep Reinforcement Learning (RL) has considerably advanced over the past decade. At the same time, state-of-the-art RL algorithms require a large computational …
Quantum computing (QC) is anticipated to provide a speedup over classical approaches for specific problems in optimization, simulation, and machine learning. With the advances in …
Context Quantum computing (QC) holds the potential to revolutionize computing by solving complex problems exponentially faster than classical computers, transforming fields such as …
Circuit design for quantum machine learning remains a formidable challenge. Inspired by the applications of tensor networks across different fields and their novel presence in the …
Quantum computing is important for science and industry as it offers the potential to solve certain complex problems and perform calculations significantly faster than classical …
C Maraveas, D Konar, DK Michopoulos… - … and Electronics in …, 2024 - Elsevier
Agriculture has undergone progressive transformations using ever-evolving technologies to increase productivity and profitability. A new approach to agricultural management based on …