A Computational Introduction to Quantum Physics

This concise textbook introduces an innovative computational approach to quantum mechanics. Over the course of this engaging and informal book, students are encouraged to take an active role in learning key concepts by working through practical exercises. The book equips readers with some basic methodology and a toolbox of scientific computing methods, so they can use code to simulate and directly visualize how quantum particles behave. The important foundational elements of the wave function and the Schr&&&246;dinger equation are first introduced, then the text gradually builds up to advanced topics including relativistic, open, and non-Hermitian quantum physics. This book assumes familiarity with basic mathematics and numerical methods, and can be used to support a two-semester advanced undergraduate course. Source code and solutions for every book exercise involving numerical implementation are provided in Python and MATLAB&&&174;, along with supplementary data. Additional problems are provided online for instructor use with locked solutions.

'This book provides a well-written and carefully structured course on computational quantum mechanics, and its many exercises, with provided solutions, facilitate active learning both of physics and of numerical computing ... This book will be very useful for undergraduate and graduate students interested in adopting modern methodologies for their learning by applying computational resources to intermediate to advanced quantum mechanical concepts.' Christian Hill, author of Learning Scientific Programming with Python (2nd ed., 2020) and Python for Chemists (2023)

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