Advanced Computational Paradigms for High-Performance Engineering Systems: Integrating Artificial Intelligence and Quantum Computing
DOI:
https://doi.org/10.63282/3050-9262.IJAIDSML-V5I1P101Keywords:
Quantum Computing, Artificial Intelligence, Machine Learning, Deep Learning, Quantum Neural Networks, Hybrid AI-QC, High-Performance Computing, Quantum Algorithms, Engineering Systems, OptimizationAbstract
The integration of Artificial Intelligence (AI) and Quantum Computing (QC) is poised to revolutionize highperformance engineering systems. This paper explores the synergistic potential of these advanced computational paradigms, highlighting their applications, challenges, and future directions. We begin by providing an overview of AI and QC, followed by a detailed examination of their integration in various engineering domains. Key algorithms and techniques are discussed, and case studies are presented to illustrate the practical benefits and limitations. The paper concludes with a discussion on the ethical and practical implications of this integration, offering recommendations for future research and development
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