Evaluating the Synergies Between Cloud Computing, Big Data Analytics, and Quantum Algorithms: Opportunities and Challenges

Main Article Content

Javed Malik, Nia Patel and Ramesh Gupta

Abstract

The convergence of cloud computing, big data analytics, and quantum computing holds immense potential for revolutionizing various industries and scientific domains. This research article delves into the synergies that arise from the interplay of these three powerful technologies, exploring the opportunities they present and the challenges that must be addressed. By leveraging cloud computing's scalable and on-demand resources, big data analytics' ability to extract valuable insights from massive datasets, and quantum algorithms' capability to solve computationally complex problems efficiently, we can unlock unprecedented computational power and data processing capabilities. However, realizing the full potential of this convergence requires overcoming technical obstacles, addressing security and privacy concerns, and fostering interdisciplinary collaboration. This article provides a comprehensive analysis of the current state of these technologies, their synergistic effects, and the path forward for their successful integration and widespread adoption.

Article Details

How to Cite
Ramesh Gupta, J. M. N. P. and. (2024). Evaluating the Synergies Between Cloud Computing, Big Data Analytics, and Quantum Algorithms: Opportunities and Challenges. Journal of Empirical Social Science Studies, 8(2), 38–50. Retrieved from https://publications.dlpress.org/index.php/jesss/article/view/88
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Articles
Author Biography

Javed Malik, Nia Patel and Ramesh Gupta, Department of Computer Science and Engineering, University of Varanasi