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Using Mathematica for quantum mechan...

Schmied, Roman.

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Using Mathematica for quantum mechanics = a student's manual /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Using Mathematica for quantum mechanics/ by Roman Schmied.
其他題名:	a student's manual /
作者:	Schmied, Roman.
出版者:	Singapore :Springer Singapore : : 2020.,
面頁冊數:	xii, 193 p. :ill. (some col.), digital ;24 cm.
內容註:	Wolfram language overview -- Quantum mechanics: states and operators -- spin and angular momentum -- Quantum motion in real space -- Combining spatial motion and spin.
Contained By:	Springer eBooks
標題:	Quantum theory - Handbooks, manuals, etc. - Computer simulation -
電子資源:	https://doi.org/10.1007/978-981-13-7588-0
ISBN:	9789811375880

Using Mathematica for quantum mechanics = a student's manual /
Schmied, Roman.

Using Mathematica for quantum mechanicsa student's manual /[electronic resource] :by Roman Schmied. - Singapore :Springer Singapore :2020. - xii, 193 p. :ill. (some col.), digital ;24 cm.

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.

ISBN: 9789811375880

Standard No.: 10.1007/978-981-13-7588-0doiSubjects--Topical Terms:

3444084
Quantum theory
--Computer simulation--Handbooks, manuals, etc.

LC Class. No.: QC174.12

Dewey Class. No.: 530.12

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520 $a 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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