دانلود کتاب یادگیری ماشین کوانتومی در اتوماسیون صنعتی

In the age of Industry 4.0, where the lines between the physical, digital, and biological spheres are increasingly blurred, the demand for smarter, faster, and more adaptive systems has never been higher. Quantum Machine Learning in Industrial Automation emerges as a timely and visionary contribution, bridging two of the most transforma- tive technologies of our era: quantum computing and machine learning. This book offers not only an introduction to these cutting-edge disciplines but also an ambitious roadmap for their convergence within the complex realm of industrial automation. Industrial automation has long been a cornerstone of modern manufacturing, enabling scalability, consistency, and efficiency. However, as production environ- ments become more complex and data-rich, traditional computational methods are reaching their limits. Here, quantum computing—with its promise of exponential speedup and novel problem-solving paradigms—presents a compelling new fron- tier. Coupled with the adaptive capabilities of machine learning, the potential for innovation is boundless. The authors of this volume precisely navigate this multidisciplinary landscape. They demystify the foundational principles of quantum computing and quantum machine learning while grounding their discussions in the real-world challenges and applications of industrial automation. From predictive maintenance and intelli- gent robotics to process optimization and quality assurance, this book explores how quantum-enhanced algorithms could revolutionize core functions across industries. More than just a technical manual, Quantum Machine Learning in Industrial Automation invites readers to envision a future where quantum intelligence augments every stage of industrial operations. Whether you are a researcher, engineer, technol- ogist, or decision-maker, this book will equip you with both the conceptual insights and practical tools to engage with this rapidly evolving field.