A review on quantum approximate optimization algorithm and its variants
Abstract The Quantum Approximate Optimization Algorithm (QAOA) is a highly promising
variational quantum algorithm that aims to solve combinatorial optimization problems that …
variational quantum algorithm that aims to solve combinatorial optimization problems that …
Archives of quantum computing: research progress and challenges
V Sood, RP Chauhan - Archives of Computational Methods in …, 2024 - Springer
Quantum computing is a revolutionary concept among emerging technologies visioned by
researchers. The interdisciplinary nature of quantum computing evolves as cross-pollination …
researchers. The interdisciplinary nature of quantum computing evolves as cross-pollination …
Enhancing sustainable energy conversion: Comparative study of superheated and recuperative ORC systems for waste heat recovery and geothermal applications …
This study investigates the 4E performance of small-scale (< 100 kW), low-temperature (<
179° C) Organic Rankine Cycle (ORC) technology, comparing two distinct configurations …
179° C) Organic Rankine Cycle (ORC) technology, comparing two distinct configurations …
[HTML][HTML] Estimating reference crop evapotranspiration using optimized empirical methods with a novel improved Grey Wolf Algorithm in four climatic regions of China
J Dong, L **ng, N Cui, L Guo, C Liang, L Zhao… - Agricultural Water …, 2024 - Elsevier
Accurate estimation of reference crop evapotranspiration (ETo) is crucial for agricultural
water management. As the simplified alternatives of the Penman-Monteith equation …
water management. As the simplified alternatives of the Penman-Monteith equation …
Explainable hybrid quantum neural networks for analyzing the influence of tweets on stock price prediction
Stock price prediction is a complex and challenging activity for organizations and investors
to predict future returns. While machine learning and deep learning methods are widely …
to predict future returns. While machine learning and deep learning methods are widely …
Advancements in Communication and Information Technologies for Smart Energy Systems and Renewable Energy Transition: A Review
As the energy sector significantly impacts global greenhouse gas emissions, it is essential to
decarbonize energy systems to mitigate climate change. Two primary obstacles in …
decarbonize energy systems to mitigate climate change. Two primary obstacles in …
Quantum-Inspired Resource Optimization for 6G Networks: A Survey
The Internet of things (IoT) drives an exponential surge in computing and communication
devices. Consequently, it triggers capacity, coverage, interference, latency, and security …
devices. Consequently, it triggers capacity, coverage, interference, latency, and security …
[HTML][HTML] Arc-curved microchannels engraved on segmented circular heat sink for heat transfer augmentation; ANN-based performance optimization
The proficient management and supervision of thermal conditions in microelectronic
equipment are becoming progressively challenging owing to the imposition of heightened …
equipment are becoming progressively challenging owing to the imposition of heightened …
Why consider quantum instead classical pattern recognition techniques?
This article delves into the evolving landscape of pattern recognition, transitioning from
classical methodologies to quantum-based techniques. It underscores how quantum …
classical methodologies to quantum-based techniques. It underscores how quantum …
Cooperative metaheuristic algorithm for global optimization and engineering problems inspired by heterosis theory
Swarm Intelligence-based metaheuristic algorithms are widely applied to global optimization
and engineering design problems. However, these algorithms often suffer from two main …
and engineering design problems. However, these algorithms often suffer from two main …