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  3. Machine Learning in Quantum Sciences
  • Cited by 12
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    • Publisher:
      Cambridge University Press
      Publication date:
      13 June 2025
      12 June 2025
      ISBN:
      9781009504942
      9781009504935
      DOI:
      https://doi.org/10.1017/9781009504942
      Dimensions:
      (254 x 178 mm)
      Weight & Pages:
      0.81kg, 330 Pages
      Dimensions:
      Weight & Pages:
      • Subjects:
      Physics and Astronomy, Computer Science, Pattern Recognition and Machine Learning, Quantum Physics, Quantum Information and Quantum Computation
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    • Selected: Digital
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    Subjects:
    Physics and Astronomy, Computer Science, Pattern Recognition and Machine Learning, Quantum Physics, Quantum Information and Quantum Computation
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    Book description

    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 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.

    Reviews

    ‘The book gives a fantastic overview of an emerging research landscape where quantum sciences and machine learning meet. A good place to start for young researchers who want to help shape this exciting intersection.’

    Maria Schuld - Xanadu, Canada

    ‘Imagine trying to learn quantum mechanics without knowing differential equations and linear algebra. A daunting task, since these are the mathematical languages behind the Schrödinger and Heisenberg pictures! Now imagine trying to do cutting-edge research in the quantum sciences without knowing artificial intelligence (AI) and machine learning (ML). Similarly daunting, since AI/ML is fast becoming the language of scientific discovery! This book will teach you the pillars of AI/ML through the lens of the quantum sciences, offering insights to novices and experts alike about how you can apply AI/ML in a scientifically rigorous way to various quantum systems.’

    Jesse Thaler - Massachusetts Institute of Technology, USA

    ‘This book is a valuable contribution to the field, striking a thoughtful balance between being self-contained and providing a broad survey of the different research directions. For physics students new to machine learning, the book can serve as an excellent entry point as it covers the essential foundational concepts. Likewise, experienced physicists already incorporating machine learning into their research will benefit from its well-curated overview of this rapidly evolving field.’

    Miranda Cheng - University of Amsterdam, Netherlands and Academia Sinica, Taiwan

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    Contents

    Contents
    • 1 - Introduction
      pp 1-13
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