Exploring the potential of Elon musk's proposed quantum AI: A comprehensive analysis and implications
1 Department of Electrical & Electronics Engineering, University of Ibadan, Ibadan, Nigeria.
2 Department of Physics, Joseph Sarwuan Tarka University, Makurdi, Nigeria.
3 Department of Telecommunications, Enforcement, Ancillary and Maintenance, National Broadcasting Commission Headquarters, Aso-Villa, Abuja, Nigeria.
4 Department of Electrical Engineering, Prairie View A&M University, Texas, USA.
5 School of Computer and Information Sciences, University of the Cumberlands, Williamsburg, KY, USA.
6 Department of Network Infrastructure Building, VEA, Telecoms, Manchester, United Kingdom.
Research Article
Global Journal of Engineering and Technology Advances, 2024, 18(03), 048–065.
Article DOI: 10.30574/gjeta.2024.18.3.0037
Publication history:
Received on 22 January 2024; revised on 02 March 2024; accepted on 04 March 2024
Abstract:
Elon Musk has recently introduced the concept of Quantum AI, suggesting a revolutionary integration of quantum computing capabilities with artificial intelligence. This research aims to delve into the theoretical foundations, technological aspects, and potential applications of Musk's proposed Quantum AI. By conducting an in-depth analysis, this study seeks to unravel the unique features and challenges associated with the fusion of quantum computing and artificial intelligence, offering insights into the transformative impact on computational power, machine learning, and problem-solving capabilities. Additionally, the research will explore the ethical considerations and societal implications of deploying Quantum AI, paving the way for a comprehensive understanding of its potential benefits and risks. This investigation aims to contribute to the evolving discourse on the convergence of quantum computing and artificial intelligence, shedding light on the path towards harnessing the full potential of Musk's visionary proposal.
Keywords:
Elon musk's; Implications; Analysis; AI
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Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0