Introduction to Tensor Network Methods Numerical simulations of low-dimensional many-body quantum systems /
This volume of lecture notes briefly introduces the basic concepts needed in any computational physics course: software and hardware, programming skills, linear algebra, and differential calculus. It then presents more advanced numerical methods to tackle the quantum many-body problem: it reviews th...
Κύριος συγγραφέας: | |
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Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2018.
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Έκδοση: | 1st ed. 2018. |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Introduction
- Part I: Software and Hardware
- Lesson 1: Computer for Physicists
- Lesson 2: Software for Physicists
- Part II: Crash Programming Course
- Lesson 3: Fortran
- Lesson 4: Python
- Lesson 5: Gnuplot
- Part III: Single-Body Problem
- Lesson 6: Matrix Diagonalization
- Lesson 7: Integrals
- Lesson 8: Differential Equations
- Part IV: Many-Body Problem
- Lesson 9: Monte Carlo
- Lesson 10: Renormalization Group
- Lesson 11: Tensor Networks
- Part V: Symmetries
- Lesson 12: Group Theory
- Lesson 13: Quantum Phase Transitions
- Lesson 14: Global Symmetries
- Lesson 15: Gauge Theories. .