Quantum Machine Learning (QML): Platform, Tools and Applications

Quantum Machine Learning (QML): Platform, Tools and Applications, Volume 140 in the Advances in Computers series, explores the intersection of quantum computing and artificial intelligence, highlighting the latest advances that promise to revolutionize computational science. This volume introduces foundational concepts in quantum computing and circuits, building toward the practical implementation of quantum machine learning (QML) algorithms. Chapters address challenges such as the gradient vanishing problem in variational quantum circuits, and explore powerful optimization methods enabled by quantum mechanics. The volume also covers advanced applications including quantum approaches to smart grid management, quantum Monte Carlo simulations, and predictive modeling in numerical solvers using quantum neural networks. Real-world relevance is underscored through discussions of transformative quantum algorithms and their potential to reshape machine learning, enabling unprecedented performance in data analysis, optimization, and beyond.

• Contains novel subject matter that is relevant to computer science
• Includes the expertise of contributing authors
• Presents an easy to comprehend writing style