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Using Mathematica for Quantum Mechanics [electronic resource] : A Student's Manual / by Roman Schmied.

By: Schmied, Roman [author.]Contributor(s): SpringerLink (Online service)Material type: TextTextPublisher: Singapore : Springer Singapore : Imprint: Springer, 2020Edition: 1st ed. 2020Description: XII, 193 p. 1418 illus., 59 illus. in color. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9789811375880Subject(s): Quantum physics | Physics | Atomic structure   | Molecular structure  | Quantum field theory | String theory | Quantum Physics | Numerical and Computational Physics, Simulation | Mathematical Methods in Physics | Atomic/Molecular Structure and Spectra | Quantum Field Theories, String TheoryAdditional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification: 530.12 LOC classification: QC173.96-174.52Online resources: Click here to access online
Contents:
Wolfram language overview -- Quantum mechanics: states and operators -- spin and angular momentum -- Quantum motion in real space -- Combining spatial motion and spin.
In: Springer Nature eBookSummary: This book revisits many of the problems encountered in introductory quantum mechanics, focusing on computer implementations for finding and visualizing analytical and numerical solutions. It subsequently uses these implementations as building blocks to solve more complex problems, such as coherent laser-driven dynamics in the Rubidium hyperfine structure or the Rashba interaction of an electron moving in 2D. The simulations are highlighted using the programming language Mathematica. No prior knowledge of Mathematica is needed; alternatives, such as Matlab, Python, or Maple, can also be used.
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Wolfram language overview -- Quantum mechanics: states and operators -- spin and angular momentum -- Quantum motion in real space -- Combining spatial motion and spin.

This book revisits many of the problems encountered in introductory quantum mechanics, focusing on computer implementations for finding and visualizing analytical and numerical solutions. It subsequently uses these implementations as building blocks to solve more complex problems, such as coherent laser-driven dynamics in the Rubidium hyperfine structure or the Rashba interaction of an electron moving in 2D. The simulations are highlighted using the programming language Mathematica. No prior knowledge of Mathematica is needed; alternatives, such as Matlab, Python, or Maple, can also be used.

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