Integrating Quantum Computing with Artificial Intelligence: Potential and Challenges

Authors

  • Dr. Meenakshi Mishra Expert of Quantum Computing, Chennai

Keywords:

Quantum Computing, Artificial Intelligence, Quantum Algorithms, Machine Learning

Abstract

Quantum computing promises revolutionary advancements in computational power, offering potential breakthroughs for artificial intelligence (AI) applications. the intersection of quantum computing and AI, highlighting the transformative capabilities and challenges in leveraging quantum mechanics to enhance machine learning algorithms. Key areas of focus include quantum algorithms for optimization, machine learning models, and data analysis, emphasizing the potential to solve complex problems exponentially faster than classical computers. However, significant challenges such as quantum decoherence, error correction, and scalability hinder seamless integration. current research efforts, discusses theoretical frameworks, and proposes future directions to harness the full potential of quantum AI synergy while addressing technical obstacles.

References

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Published

01-08-2024

How to Cite

Mishra, D. M. (2024). Integrating Quantum Computing with Artificial Intelligence: Potential and Challenges. Well Testing Journal, 33, 159–164. Retrieved from https://welltestingjournal.com/index.php/WT/article/view/86

Issue

Section

Research Articles

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