Description

Book Synopsis

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.



Table of Contents

1 Wolfram language overview 1.1 introduction1.1.1 exercises1.2 variables and assignments1.2.1 immediate and delayed assignments1.2.2 exercises1.3 four kinds of bracketing1.4 prefix and postfix1.4.1 exercises1.5 programming constructs1.5.1 procedural programming1.5.2 exercises1.5.3 functional programming1.5.4 exercises1.6 function definitions1.6.1 immediate function definitions1.6.2 delayed function definitions1.6.3 functions that remember their results1.6.4 functions with conditions on their arguments1.6.5 functions with optional arguments1.7 rules and replacements1.7.1 immediate and delayed rules1.7.2 repeated rule replacement1.8 many ways to define the factorial function1.8.1 exercises1.9 vectors, matrices, tensors1.9.1 vectors1.9.2 matrices1.9.3 sparse vectors and matrices1.9.4 matrix diagonalization1.9.5 tensor operations1.9.6 exercises1.10 complex numbers1.11 units2 quantum mechanics 2.1 basis sets and representations 2.1.1 incomplete basis sets 2.1.2 exercises 2.2 time-independent Schrödinger equation 2.2.1 diagonalization 2.2.2 exercises 2.3 time-dependent Schrödinger equation 2.3.1 time-independent basis 2.3.2 time-dependent basis: interaction picture 2.3.3 special case: I ˆ(t), ˆ(tt)l = 0 ∀(t, tt) H H2.3.4 special case: time-independent Hamiltonian 2.3.5 exercises 2.4 basis construction 2.4.1 description of a single degree of freedom 2.4.2 description of coupled degrees of freedom 2.4.3 reduced density matrices 2.4.4 exercises 3 spin systems 3.1 quantum-mechanical spin and angular momentum operators 3.1.1 exercises 3.2 spin-1/2 electron in a dc magnetic field 3.2.1 time-independent Schrödinger equation 3.2.2 exercises 3.3 coupled spin systems: 87Rb hyperfine structure 3.3.1 eigenstate analysis 3.3.2 “magic” magnetic field 3.3.3 coupling to an oscillating magnetic field 3.3.4 exercises 3.4 coupled spin systems: Ising model in a transverse field 3.4.1 basis set 3.4.2 asymptotic ground states 3.4.3 Hamiltonian diagonalization 3.4.4 analysis of the ground state 3.4.5 exercises 4 real-space systems 4.1 one particle in one dimension 4.1.1 computational basis functions 4.1.2 example: square well with bottom step 4.1.3 the Wigner quasi-probability distribution 4.1.4 1D dynamics in the square well 4.1.5 1D dynamics in a time-dependent potential 4.2 non-linear Schrödinger equation 4.2.1 ground state of the non-linear Schrödinger equation 4.3 several particles in one dimension: interactions 4.3.1 two identical particles in one dimension with contact interaction 4.3.2 two particles in one dimension with arbitrary interaction 4.4 one particle in several dimensions 4.4.1 exercises 5 combining space and spin 5.1 one particle in 1D with spin 5.1.1 separable Hamiltonian 5.1.2 non-separable Hamiltonian 5.1.3 exercises5.2 one particle in 2D with spin: Rashba coupling5.2.1 exercises 5.3 phase-space dynamics in the Jaynes–Cummings model exercises

Using Mathematica for Quantum Mechanics: A Student’s Manual

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A Paperback by Roman Schmied

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    View other formats and editions of Using Mathematica for Quantum Mechanics: A Student’s Manual by Roman Schmied

    Publisher: Springer Verlag, Singapore
    Publication Date: 17/10/2020
    ISBN13: 9789811375903, 978-9811375903
    ISBN10: 9811375909

    Description

    Book Synopsis

    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.



    Table of Contents

    1 Wolfram language overview 1.1 introduction1.1.1 exercises1.2 variables and assignments1.2.1 immediate and delayed assignments1.2.2 exercises1.3 four kinds of bracketing1.4 prefix and postfix1.4.1 exercises1.5 programming constructs1.5.1 procedural programming1.5.2 exercises1.5.3 functional programming1.5.4 exercises1.6 function definitions1.6.1 immediate function definitions1.6.2 delayed function definitions1.6.3 functions that remember their results1.6.4 functions with conditions on their arguments1.6.5 functions with optional arguments1.7 rules and replacements1.7.1 immediate and delayed rules1.7.2 repeated rule replacement1.8 many ways to define the factorial function1.8.1 exercises1.9 vectors, matrices, tensors1.9.1 vectors1.9.2 matrices1.9.3 sparse vectors and matrices1.9.4 matrix diagonalization1.9.5 tensor operations1.9.6 exercises1.10 complex numbers1.11 units2 quantum mechanics 2.1 basis sets and representations 2.1.1 incomplete basis sets 2.1.2 exercises 2.2 time-independent Schrödinger equation 2.2.1 diagonalization 2.2.2 exercises 2.3 time-dependent Schrödinger equation 2.3.1 time-independent basis 2.3.2 time-dependent basis: interaction picture 2.3.3 special case: I ˆ(t), ˆ(tt)l = 0 ∀(t, tt) H H2.3.4 special case: time-independent Hamiltonian 2.3.5 exercises 2.4 basis construction 2.4.1 description of a single degree of freedom 2.4.2 description of coupled degrees of freedom 2.4.3 reduced density matrices 2.4.4 exercises 3 spin systems 3.1 quantum-mechanical spin and angular momentum operators 3.1.1 exercises 3.2 spin-1/2 electron in a dc magnetic field 3.2.1 time-independent Schrödinger equation 3.2.2 exercises 3.3 coupled spin systems: 87Rb hyperfine structure 3.3.1 eigenstate analysis 3.3.2 “magic” magnetic field 3.3.3 coupling to an oscillating magnetic field 3.3.4 exercises 3.4 coupled spin systems: Ising model in a transverse field 3.4.1 basis set 3.4.2 asymptotic ground states 3.4.3 Hamiltonian diagonalization 3.4.4 analysis of the ground state 3.4.5 exercises 4 real-space systems 4.1 one particle in one dimension 4.1.1 computational basis functions 4.1.2 example: square well with bottom step 4.1.3 the Wigner quasi-probability distribution 4.1.4 1D dynamics in the square well 4.1.5 1D dynamics in a time-dependent potential 4.2 non-linear Schrödinger equation 4.2.1 ground state of the non-linear Schrödinger equation 4.3 several particles in one dimension: interactions 4.3.1 two identical particles in one dimension with contact interaction 4.3.2 two particles in one dimension with arbitrary interaction 4.4 one particle in several dimensions 4.4.1 exercises 5 combining space and spin 5.1 one particle in 1D with spin 5.1.1 separable Hamiltonian 5.1.2 non-separable Hamiltonian 5.1.3 exercises5.2 one particle in 2D with spin: Rashba coupling5.2.1 exercises 5.3 phase-space dynamics in the Jaynes–Cummings model exercises

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