 Название: Machine Learning in Quantum Sciences
Автор: Anna Dawid, Julian Arnold, Borja Requena, Alexander Gresch
Издательство: Cambridge University Press
Год: 2025
Страниц: 331
Язык: английский
Формат: pdf
Размер: 72.1 MB
Artificial Intelligence is dramatically reshaping scientific research and is coming to play an essential role in scientific and technological development by enhancing and accelerating discovery across multiple fields. This book dives into the interplay between Artificial Intelligence (AI) and the quantum sciences; the outcome of a collaborative effort from world-leading experts. After presenting the key concepts and foundations of Machine Learning, a subfield of Artificial Intelligence, its applications in quantum chemistry and physics are presented in an accessible way, enabling readers to engage with emerging literature on Machine Learning in science. By examining its state-of-the-art applications, readers will discover how Machine Learning is being applied within their own field and appreciate its broader impact on science and technology. This book is accessible to undergraduates and more advanced readers from physics, chemistry, engineering, and Computer Science. Online resources include Jupyter notebooks to expand and develop upon key topics introduced in the book.
Our book is roughly divided into three parts. The first part is devoted to establishing a solid foundation of basic ML concepts needed for understanding its applications in natural sciences. In the second part, we dive into four core application areas of ML in quantum sciences. This covers the use of Deep Learning and kernel methods in supervised, unsupervised, and reinforcement learning algorithms for phase classification, representation of many-body quantum states, quantum feedback control, and quantum circuit optimization among other applications. In the third part, we introduce and discuss more specialized topics such as differentiable programming, generative models, statistical physics approaches to ML, and quantum machine learning.
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