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 Conference Papers Conference Paper Faculty Publications- Conference Papers 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 Quantum vs. Classical: A Rigorous Comparative Study on Neural Networks for Advanced Satellite Image Classification Subject The topic of the resource Convolutional Neural Networks (CNN); Deep Learning; Hybrid Quantum-Classical Model; Qiskit; Quantum Computing; Quantum Neural Networks Description An account of the resource Navigating the intersection of quantum computing and classical machine learning in image classification, this study confronts prevailing challenges. Centered on the "Satellite Image dataset (RSI-CB256),"our investigation probes the early phases of quantum architectures, utilizing simulations to transform numerical data into a quantum format, the investigation highlights the existing limitations in traditional classical methodologies for image classification tasks. In light of the groundbreaking possibilities presented by quantum computing, this study underscores the need for creative solutions to push image classification beyond the usual methods. Additionally, the study extends beyond conventional CNNs, incorporating Quantum Machine Learning through the Qiskit framework. This dualparadigm approach not only underscores the limitations of current classical machine learning methods but also sets the stage for a more profound understanding of the challenges that quantum methodologies aim to address. The research offers valuable insights into the ongoing evolution of quantum architectures and their potential impact on the future landscape of image classification and machine learning. 2024 IEEE. Creator An entity primarily responsible for making the resource Ghosh A.; Saha S.; Bhagat V.; Ganie A.H. Source A related resource from which the described resource is derived TQCEBT 2024 - 2nd IEEE International Conference on Trends in Quantum Computing and Emerging Business Technologies 2024 Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/TQCEBT59414.2024.10545133" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/TQCEBT59414.2024.10545133</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204502426&amp;doi=10.1109%2FTQCEBT59414.2024.10545133&amp;partnerID=40&amp;md5=e27e2eb16655087d4f15deab78084b0c" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204502426&amp;doi=10.1109%2fTQCEBT59414.2024.10545133&amp;partnerID=40&amp;md5=e27e2eb16655087d4f15deab78084b0c</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835038427-7 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Ghosh A., Christ University, Bengaluru, India; Saha S., Christ University, Bengaluru, India; Bhagat V., Christ University, Bengaluru, India; Ganie A.H., Christ University, Bengaluru, India