Exploring Quantum Computing in Weather Forecasting: Leveraging Optimization Algorithms for Long-Term Accuracy
Quantum computing; quantum optimization algorithms; quantum parallelism
Weather forecasting holds immense importance for businesses and society, necessitating accurate long-term predictions. Conventional computing faces challenges in achieving this precision due to the complexity of weather data processing. This study explores the potential of quantum computing and optimization techniques to enhance long-term weather forecasts. It delves into the foundational principles of quantum computing and the capabilities of optimization algorithms, highlighting their aptitude for addressing weather forecastings intricate optimization problems. Quantum computing, with its unique features of parallelism and advanced optimization, offers exciting opportunities for improving the precision of longrange weather forecasts. Examining the complexities of weather data analysis, the study emphasizes challenges arising from enormous datasets. It explores the potential of quantum optimization algorithms to extract insights and enhance meteorological data analysis. Additionally, it investigates quantum optimization methods for specific challenges in weather forecasting. This section compares quantum algorithms with traditional methodologies, evaluating their impact on forecast accuracy. The study concludes by showcasing the transformative role of quantum computing in advancing weather prediction capabilities, laying a robust foundation for future research and advancements in quantum computing technologies, and driving the evolution of more accurate long-term weather forecasts. 2025 Scrivener Publishing LLC.
Loveline Zeema, J.; Deepa, S.; Kirubanand, V.B.; Jose, Teena; Kalpana, P.
Quantum Computing and Artificial Intelligence: The Industry Use Cases;pp.139-162
https://doi.org/10.1002/9781394242399.ch4 https://www.scopus.com/pages/publications/105001415411?origin=resultslist
Loveline Zeema J., Department of Computer Science, CHRIST (Deemed to be University), Karnataka, Benglore, India; Deepa S., Department of Computer Science, CHRIST (Deemed to be University), Karnataka, Benglore, India; Kirubanand V.B., Department of Computer Science, CHRIST (Deemed to be University), Karnataka, Benglore, India; Jose T., Department of Computer Science, CHRIST (Deemed to be University), Karnataka, Benglore, India; Kalpana P., Department of Computer Science, CHRIST (Deemed to be University), Karnataka, Benglore, India