Visualizing Quantum Mechanics with Python
Autor Steve Spicklemireen Limba Engleză Paperback – 5 iun 2024
The focus of this book is writing python programs to visualize the underlying behavior of the mathematical theory. The background needed to understand quantum mechanics is differential equations, linear algebra and modern physics. We need a strong foundation in differential equations and linear algebra because the behavior of quantum systems is governed by equations that are written in terms of these concepts. Modern physics includes concepts such as special relativity and quantum phenomena like the photoelectric effect and energy quantization that the theory of quantum mechanics seeks to explain. This book is also not an introduction to the python programming language, or to numpy, or even to VPython. However its programming examples start simply and grow more complex as the chapters progress, so deep expertise in any of these is not a pre-requisite.
Key features:
· Provides an accessible and practical guide to the abstractions in quantum mechanics with concrete visual examples driven by simple python programs.
· Contains few derivations, equations, and proofs.
· For complete beginners of python programming, appendix B serves as a very brief introduction to the main concepts needed to understand the code in this book.
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Specificații
ISBN-13: 9781032569246
ISBN-10: 1032569247
Pagini: 60
Ilustrații: 50
Dimensiuni: 178 x 254 x 5 mm
Greutate: 0.45 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press
Locul publicării:Boca Raton, United States
ISBN-10: 1032569247
Pagini: 60
Ilustrații: 50
Dimensiuni: 178 x 254 x 5 mm
Greutate: 0.45 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press
Locul publicării:Boca Raton, United States
Public țintă
Postgraduate and Undergraduate AdvancedCuprins
Chapter 1: Introduction. Chapter 2: Visualizing 1D Quantum Wave-functions. Chapter 3: Visualizing 1D Bound Systems. Chapter 4: Visualizing Higher Dimensions. Index.
Descriere
The goal of this book is to reduce the complexity and clarify the abstractions with concrete visual examples driven by simple python programs.