• 22 results
Algorithms and computation

Computational physics plays a central role in all fields of physics, from classical statistical physics, soft matter problems, and hard-condensed matter. Our goal is to cover the very basic concepts underlying computer simulations in classical and quantum problems, and connect these ideas to relevant contemporary research problems in various fields of physics. In the TD’s you will also learn how to set, perform and analyse simple computer simulations by yourself. We will use Python, but no previous knowledge of this programming language is needed.

Quantum-condensed-matter field theory
Statistical Field Theory and applications

This course is about how to describe complex systems using ideas of the renormalization group (‘coarse-graining’) and statistical field theory.

Cavity and circuit QED

The main goal of the course is to study the light-matter interaction at the fundamental level where one two-level system interacts with a single mode of the electromagnetic field. 

The lecture will first presents the fundamental concept of cavity quantum electrodynamics (Jaynes–Cummings model, resonant and dispersive interaction, Schrödinger cat states of light) and then moves to the more recent developments of circuit QED. 

Suggestions for courses depending on topics of interest : Condensed Matter Physics

Here are some suggestions of the courses you could take based on your interest. These are merely suggestions for those who do not know which courses to consider, or a starting point to building your course list, which should reflect your own personal interests. They should be treated as such. If you have any doubts or questions, please contact the coordinators.

 

Quantum matter

The goal of this course is to introduce somewhat "advanced" topics in quantum matter, tackle truly quantum-entangled, strongly interacting, phases of matter and materials, and present how quantum matter is a particularly rich field, with many open theoretical problems.