This book explores the transformative potential of quantum computing in artificial intelligence (AI) 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 AI. 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.

Key Features

• Examines the architecture, foundations, mathematics, algorithms, programming, encryption techniques, predictive data analysis, tools/software, and applications associated with quantum computing in AI.

• Explores the challenges of quantum hardware scalability and stability, and outlines error correction and mitigation strategies in quantum computing.

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

• Provides analysis of quantum encryption methods for enhanced data security in AI systems.

• Offers an 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 AI.