Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Loveline Zeema, J.; Deepa, S.; Kirubanand, V.B.; Jose, Teena; Kalpana, P. Title A name given to the resource Exploring Quantum Computing in Weather Forecasting: Leveraging Optimization Algorithms for Long-Term Accuracy Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Quantum Computing and Artificial Intelligence: The Industry Use Cases;pp.139-162 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1002/9781394242399.ch4" target="_blank" rel="noreferrer noopener">https://doi.org/10.1002/9781394242399.ch4</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105001415411?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105001415411?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant 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 Description An account of the resource 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. Subject The topic of the resource Quantum computing; quantum optimization algorithms; quantum parallelism Publisher An entity responsible for making the resource available wiley Relation A related resource ISBN: 978-139424239-9; 978-139424236-8; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource All Open Access; Gold Open Access Format The file format, physical medium, or dimensions of the resource online