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Computational Quantum Dynamics (winter term 2017)


Mondays 9:15 to 13:00, Philos.-weg 12 / room 106
Exercise courses:
Mondays 16:15 to 18:00, Philos.-weg 12 / SR 306 (3. OG)
Registration for practice groups is open.


  • introduction to scientific Python
  • solving the Schrödinger, Pauli, Klein-Gordon, and Dirac equations by numerical means
  • time independent problems
  • time dependent problems
  • many particle systems

Recommended readings

The following books cover mainly computational physics in general but also some aspects of computational quantum mechanics.
  • Mark Newman. Computational Physics. Create Space Independent Publishing Platform, 2012
  • Rubin H. Landau, Manuel J. Paez, Cristian C. Bordeianu. Computational Physics: Problem Solving with Python. Wiley-VCH, 2015
  • Wolfgang Kinzel, Georg Reents. Physik per Computer: Programmierung physikalischer Probleme mit Mathematica und C. Spektrum Akademischer Verlag, 1996
  • Dieter Bauer, Heiko Bauke et al. Computational Strong-Field Quantum Dynamics: Intense Light-Matter Interactions. de Gruyter, 2017
  • C. J. Joachain, N. J. Kylstra, R. M. Potvliege. Atoms in Intense Laser Fields. Cambridge University Press, 2012
  • Wes McKinney. Python for Data Analysis. O'Reilly, 2012 (only chapters 3, 4, 12 + appendix)
  • Svein Linge, Hans Petter Langtangen. Programming for Computations – Python. Springer, 2016
Furthermore, there is a lecture script Computational Quantum Dynamics.


Attendees of the “Computational Quantum Dynamics” lecture will have to perform successfully this project to get credits for the lecture.


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© by Heiko Bauke