Quantum Computing (QC) has emerged as a breakthrough technology with
the potential to revolutionize Artificial Intelligence (AI) applications. By leveraging
quantum mechanics principles, QC exponentially increases computational capacity,
enabling accelerated data processing and optimization. The cloud availability of
quantum computers facilitates their integration with existing cloud AI services,
potentially offering the most promising route to exploit quantum algorithms within
current cloud infrastructures. This chapter explores the interactions between quantum
computing and cloud-based AI services, summarizing recent advances in
implementation and the unique advantages of QC services compared to traditional
cloud-based AI services. It also calls attention to open questions and potential areas of
development. The authors give a comprehensive overview of quantum algorithms,
hybrid quantum-classical models, and real-world implementations. The authors also
explore the ways AI-cloud companies will be affected after major cloud providers
enter the world of quantum computing-based business. This chapter also looks at
security challenges, fundamental scalability limitations, and future research directions,
with insights into how quantum computing will reshape the AI landscape over the next
few decades.
Keywords: AI ethics, Cloud AI, Classical computing, Google quantum, Hybrid computing, IBM Quantum, Intelligent computing, Microsoft azure, Quantum computing, Quantum machine learning, Material science, Quantum neural networks, Qubits, Superposition.
