Class timings: 3:00 PM -5:00 PM, Wednesdays
Venue: Emmy Noether Seminar Room and Online
First class: May 17, 2023
Course Description: The course is aimed at introducing
some of the most ubiqutiously used computational methods in quantum many-body
physics to PhD students and interested postdocs. There will be a certain
focus on kinds of settings commonly encountered in condensed matter and
statistical physics, such as interacting fermionic, bosonic or spin systems on
lattices. Some of the topics that will be covered are extracting eigenvalues
and eigenstates using (sparse) exact diagonalisation, time-evolution methods
for non- equilibrium quantum dynamics, classical and quantum Monte-Carlo
methods and using them to understand critical behaviour, a basic introduction
to simulating dynamics of open quantum systems, and finally, time permitting,
some tensor network methods. The emphasis will be on both, the algorithms and
the physics behind them, as well as their implementations. Hence, it is
required that the students have completed courses on quantum mechanics and
statistical mechanics at the Master’s level. Some basic experience with programming
(in any language) is also desirable. Course Evaluation: Assignments
- Teacher: Sthitadhi Roy