Quantum Computing and Artificial Intelligence: Emerging Applications and Future Prospects

Eric Topol

Quantum Computing and Artificial Intelligence: Emerging Applications and Future Prospects

Author(s)	Eric Topol
Country	United States
Abstract	Quantum Computing (QC) and Artificial Intelligence (AI) are among the most disruptive technologies shaping the future of science, engineering, healthcare, finance, cybersecurity, and industrial innovation. While Artificial Intelligence enables machines to learn from data, make predictions, and automate decision-making, Quantum Computing exploits the principles of quantum mechanics—such as superposition, entanglement, and quantum interference—to solve computational problems that are intractable for classical computers. The convergence of these technologies has given rise to Quantum Artificial Intelligence (QAI), an emerging interdisciplinary field with the potential to revolutionise machine learning, optimisation, cryptography, materials discovery, pharmaceutical research, climate modelling, and intelligent autonomous systems. This study presents a comprehensive review of Quantum Computing and Artificial Intelligence: Emerging Applications and Future Prospects. A qualitative analytical research methodology based on secondary data is employed to investigate quantum machine learning, quantum neural networks, quantum optimisation, hybrid quantum–classical computing, explainable quantum AI, quantum cybersecurity, and intelligent decision-support systems. The research evaluates how integrating quantum computing with AI can accelerate computational performance, improve predictive accuracy, optimise complex systems, and support scientific discovery. The findings indicate that quantum-enhanced AI algorithms significantly improve optimisation, pattern recognition, large-scale data processing, molecular simulation, and combinatorial problem-solving compared with many classical approaches for specific problem classes. Quantum machine learning models accelerate feature selection and optimisation, while hybrid quantum–classical architectures improve scalability and practical implementation. Furthermore, combining Cloud Computing, High-Performance Computing (HPC), Big Data Analytics, Internet of Things (IoT), Blockchain, Digital Twin Technology, and Edge Computing creates intelligent computational ecosystems capable of addressing multidisciplinary challenges across healthcare, manufacturing, finance, logistics, and environmental sustainability. Despite these opportunities, significant challenges remain regarding quantum hardware limitations, error correction, scalability, algorithm development, cybersecurity, workforce readiness, ethical governance, high implementation costs, and regulatory uncertainty. Future research should investigate fault-tolerant quantum computers, explainable quantum AI, quantum-safe cryptography, quantum federated learning, and sustainable quantum computing infrastructures. The study concludes that Quantum Computing and Artificial Intelligence represent a transformative technological convergence that will redefine computational intelligence, accelerate scientific innovation, and enable next-generation intelligent systems capable of solving previously unsolvable real-world problems.
Keywords	Computing, Artificial Intelligence, Quantum Machine Learning, Quantum Neural Networks, Hybrid Quantum-Classical Computing, Quantum Optimisation, Quantum AI, Explainable AI, High-Performance Computing, Intelligent Systems.
Field	Engineering
Published In	Volume 2, Issue 2, March-April 2020
Published On	2020-03-20

View / Download PDF File

About AJAMRI Fees & Payment Current Issue Publication Archive	Submit Research Paper Track Submission Status Publication Guidelines Publication Ethics Peer Review & Plagiarism	Join as a Reviewer Editors & Reviewers Reviewer Referral Program Get Reviewer Membership Certi.	Website/Journal Policies Usage Policy Content Policies Privacy Policy

Contact Us		+1-872-302-3851	editor@ajamri.com

American Journal of Advanced Multidisciplinary Research and Innovation

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Quantum Computing and Artificial Intelligence: Emerging Applications and Future Prospects

Share this