The impact of 6G-IoT technologies on the development of agriculture 5.0: a review
Throughout human history, agriculture has undergone a series of progressive
transformations based on ever-evolving technologies in an effort to increase productivity and …
transformations based on ever-evolving technologies in an effort to increase productivity and …
Quantum computing for smart grid applications
Computational complexities in modern power systems are reportedly increasing daily, and it
is anticipated that traditional computers might be inadequate to provide the computation …
is anticipated that traditional computers might be inadequate to provide the computation …
[HTML][HTML] Quantum computing challenges in the software industry. A fuzzy AHP-based approach
Context The current technology revolution has posed unexpected challenges for the
software industry. In recent years, the field of quantum computing (QC) technologies has …
software industry. In recent years, the field of quantum computing (QC) technologies has …
Quantum machine learning on near-term quantum devices: Current state of supervised and unsupervised techniques for real-world applications
The past decade has witnessed significant advancements in quantum hardware,
encompassing improvements in speed, qubit quantity, and quantum volume—a metric …
encompassing improvements in speed, qubit quantity, and quantum volume—a metric …
[HTML][HTML] Uncovering instabilities in variational-quantum deep q-networks
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 …
decade. At the same time, state-of-the-art RL algorithms require a large computational …
Quark: A framework for quantum computing application benchmarking
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 …
specific problems in optimization, simulation, and machine learning. With the advances in …
[HTML][HTML] Genetic model-based success probability prediction of quantum software development projects
Context Quantum computing (QC) holds the potential to revolutionize computing by solving
complex problems exponentially faster than classical computers, transforming fields such as …
complex problems exponentially faster than classical computers, transforming fields such as …
Practical overview of image classification with tensor-network quantum circuits
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 …
the applications of tensor networks across different fields and their novel presence in the …
A conceptual architecture for a quantum-hpc middleware
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 …
certain complex problems and perform calculations significantly faster than classical …
Harnessing quantum computing for smart agriculture: Empowering sustainable crop management and yield optimization
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 …
increase productivity and profitability. A new approach to agricultural management based on …