This book explores the transformative potential of Quantum computing in artificial intelligence and its impact on various fields. It delves into the foundational concepts, mathematical frameworks, and algorithmic paradigms, providing a roadmap for interdisciplinary research of Quantum computing in artificial intelligence. With a focus on practical applications and prospects, this book bridges the gap between theory and practice, empowering readers to harness the transformative power of quantum technologies for societal and technological advancement.

• Examines the architecture, foundations, mathematics, algorithms, programming, encryption techniques, predictive data analysis, tools/software, and applications associated with Quantum Computing in Artificial Intelligence.

• Explore challenges of quantum hardware scalability and stability and error correction and mitigation strategies in quantum computing

• Discusses applications in industries like finance, healthcare, cybersecurity, and transportation, offering innovative solutions to complex challenges.

• Analysis of quantum encryption methods for enhanced data security in AI systems

• Offers evaluation of the cost-effectiveness and practicality of quantum computing solutions.

It is a reference work for academics, scholars, and researchers interested in Quantum computing in artificial intelligence.