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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Montangero, Simone (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
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. .