Quantum Intelligence offers a clear, scientifically grounded introduction to the emerging intersection of quantum computing and artificial intelligence. Written for professionals, technologists, students, and curious readers, this book explains why AI is reaching the limits of classical computing in areas such as optimization, uncertainty, and large-scale search, and why quantum approaches are being explored as a possible next step. Readers will learn the core ideas behind qubits, superposition, entanglement, and quantum circuits in plain language, alongside the foundations of machine learning and the practical challenges of building intelligent systems. Rather than hype, the book emphasizes realism: where quantum-enhanced AI may create value, where evidence remains limited, and what hardware constraints still stand in the way. If you want a practical, accessible framework for understanding quantum intelligence and its potential impact on learning, problem solving, and decision making, this book provides a strong starting point.
