QML: THE QUANTUM FUTURE OF MACHINE LEARNING

QML: The Quantum Future of Machine Learning is a comprehensive academic and research-focused book that explores the convergence of Quantum Computing and Machine Learning, presenting a forward-looking perspective on the next generation of Artificial Intelligence.

This book systematically examines how quantum principles can enhance learning algorithms, optimize computational efficiency, and redefine intelligent systems beyond classical limitations. It provides a structured progression from foundational concepts to advanced quantum-inspired models, offering readers a clear understanding of how Quantum Machine Learning (QML) is shaping the future of AI.

The chapters cover a wide range of critical topics, including quantum computing frameworks for AI, integration of quantum algorithms with machine learning, quantum-inspired dimensionality reduction techniques, analytical approaches for complex nonlinear problems, and the practical challenges and opportunities involved in building quantum-ready intelligent systems.

Written with strong theoretical depth and research orientation, this book serves as an essential reference for those seeking to understand and contribute to the rapidly evolving domain of quantum-enhanced artificial intelligence.

Key Features:
- In-depth exploration of Quantum Computing for next-generation AI
- Integration of Quantum Computing with Machine Learning algorithms
- Quantum Machine Learning techniques and frameworks
- Quantum-inspired approaches to dimensionality reduction
- Analytical and mathematical perspectives on intelligent systems
- Challenges, limitations, and future directions of Quantum AI

Who This Book Is For:
- Undergraduate and postgraduate students in Computer Science, AI, and related fields
- Researchers and academicians in Artificial Intelligence and Quantum Computing
- PhD and M.Tech scholars
- Professionals and technologists exploring future AI paradigms

QML: The Quantum Future of Machine Learning is designed for readers who aim to move beyond conventional AI and explore the transformative potential of quantum intelligence. This book provides both conceptual clarity and academic insight, making it a valuable addition to any research-oriented AI or Quantum Computing library.