Machine learning in quantum sciences /

Machine learning for planetary science /
Published: (2022)

Quantum theory : an information processing approach /
by: Rau, Jochen
Published: (2021)

Machine learning for transportation research and applications /
by: Wang, Yinhai, et al.
Published: (2023)

Machine learning in chemistry : data-driven algorithms, learning systems, and predictions /
Published: (2019)

Quantum mechanics : concepts and applications /
by: McGervey, John D., 1931-
Published: (1995)

Applied machine learning for data science practitioners /
by: Subramanian, Vidya, 1978-
Published: (2025)

Machine learning and hybrid modelling for reaction engineering : theory and applications /
Published: (2024)

Applied Machine Learning for Data Science Practitioners.
by: Subramanian, Vidya
Published: (2025)

Machine learning for powder-based metal additive manufacturing /
Published: (2025)

Machine learning for powder-based metal additive manufacturing /
Published: (2025)

Supervised machine learning in wind forecasting and ramp event prediction /
by: Dhiman, Harsh S., et al.
Published: (2020)

Introduction to quantum information science /
by: Vedral, Vlatko
Published: (2006)

Machine learning for small bodies in the solar system /
Published: (2025)

MemComputing : fundamentals and applications /
by: Di Ventra, Massimiliano
Published: (2022)

Quantum clear : quantum mechanics free of paradoxes /
by: Duarte, F. J.
Published: (2026)

The quantum divide : why Schrödinger's cat is either dead or alive /
by: Gerry, Christopher C., 1949-, et al.
Published: (2013)

Quantum theory for chemical applications : from basic concepts to advanced topics /
by: Autschbach, J. (Jochen)
Published: (2021)

The quantum cookbook : mathematical recipes for the foundations of quantum mechanics /
by: Baggott, J. E.
Published: (2020)

Quantum mechanics /
by: Davydov, A. S. (Aleksandr Sergeevich), 1912-1993
Published: (1976)

Machine learning for membrane separation applications /
by: Rezakazemi, Mashallah, et al.
Published: (2025)

Machine learning for membrane separation applications /
by: Rezakazemi, Mashallah, et al.
Published: (2025)

Machine intelligence in mechanical engineering /
Published: (2024)

Quantum mechanics : theory and applications /
by: Ghatak, A. K. (Ajoy K.), 1939-
Published: (2004)

Introduction to quantum physics and information processing /
by: Vathsan, Radhika
Published: (2016)

Graph machine learning : take graph data to the next level by applying machine learning techniques and algorithms /
by: Stamile, Claudio, et al.
Published: (2021)

Fundamentals of quantum mechanics /
by: House, J. E.
Published: (2017)

Concepts in quantum mechanics /
by: Mathur, Vishnu S. (Vishnu Swarup), 1935-, et al.
Published: (2008)

Quantum physics for beginners /
by: Ficek, Zbigniew
Published: (2016)

Quantum mechanics : a physical approach /
by: Cetto, Ana María, et al.
Published: (2026)

De-Mystifying Math & Stats for Machine Learning : Mastering the Fundamentals of Mathematics and Statistics for Machine Learning /
by: Kumar, Govind
Published: (2021)

Introduction to quantum mechanics /
by: Blinder, S. M., 1932-
Published: (2021)

Machine learning for biometrics : concepts, algorithms and applications /
Published: (2022)

Visualizing quantum mechanics with Python
by: Spicklemire, Steve
Published: (2024)

Constrained control and machine learning : emerging methodologies and applications /
Published: (2026)

Constructing quantum mechanics. 1900-1923 /
by: Duncan, Anthony (Professor of physics), et al.
Published: (2019)

Quantum Phase Operator : a Review.
by: Barnett, S. M. (Stephen M.)
Published: (2007)