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Product Identifiers

PublisherCambridge University Press

ISBN-101009389637

ISBN-139781009389631

eBay Product ID (ePID)25064876673

Product Key Features

Book TitleComputational Introduction to Quantum Physics

Number of Pages250 Pages

LanguageEnglish

Publication Year2024

TopicPhysics / Quantum Theory, Physics / General

IllustratorYes

GenreScience

AuthorSølve Selstø

FormatHardcover

Dimensions

Item Height0.6 in

Item Length10.2 in

Item Width7.3 in

Additional Product Features

LCCN2023-051947

TitleLeadingA

Reviews'This book takes the reader from the basics of quantum theory to the core of a range of topics that define the research front of quantum-based sciences. It is an easy-to-read, modern text, with illustrative examples and problems of an analytical and numerical nature. I would recommend the book for any intermediate quantum mechanics course!' Jan Petter Hansen, University of Bergen, 'Selstø's book is an outstanding introduction to the world of quantum mechanics from a practical and computational, yet rigorous and comprehensive, perspective. For a student, the book is highly engaging, approachable, and it provides an exceptional pool of pedagogically guided exercises. I would highly recommend this book for teachers and students, as both a coursebook and self-study material.' Esa Räsänen, Tampere University, 'This book presents, delightfully, a large number of practical tasks on both foundational topics and modern applications, with code provided online. More than a collection of exercises, yet less than a complete monograph, this feels like a workbook, in that the text screams out to be worked through ... Students of quantum physics who wish to see what the abstract formalism implies in practice are in for a treat.' Alexandros Gezerlis, University of Guelph, '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)

Dewey Edition23/eng/20231212

Dewey Decimal530.12078/5

Table Of ContentPreface; 1. The wave function; 2. The Schrödinger equation; 3. The time-independent Schrödinger equation; 4. Quantum physics with several particles - and spin; 5. Quantum physics with explicit time-dependence; 6. Quantum technology and applications; 7. Beyond the Schrödinger equation; 8. Non-Hermitian quantum physics; 9. Some perspective; References; Index.

SynopsisThis 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 Schrödinger 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®, along with supplementary data. Additional problems are provided online for instructor use with locked solutions., This concise textbook introduces an innovative computational approach to quantum mechanics. Emphasizing learning through implementation and simulation of quantum phenomena, it's packed with exercises and examples. Source code and data files are provided, along with solutions. Extra problems with locked solutions are provided online for instructors.

LC Classification NumberQC174.17.M35S45 2024