International Summer School of Computational Quantum Materials

We would like to draw your attention to the following summer school on Computational Methods for Quantum Materials. Deadline for registration is February 1st, 2016.

http://pitp.physics.ubc.ca/confs/sherbrooke2016/index.html

This School will focus on computational tools for both models and ab-initio methods that deal with so-called "quantum materials" whose spectacular properties, ranging from large thermopower, high-temperature superconductors to heavy fermions, topological insulators and colossal magnetoresistance materials, are consequences of the non-trivial quantum mechanical nature of electrons and of their interactions.

The merging of methods for models of strongly correlated quantum materials with ab-initio methods now allows one to make predictions for materials with d and f electrons that were unimaginable until recently. A good part of the School will be devoted to these.

Extensive hands-on training on freely available codes, ABINIT, TRIQS, ITensor and a few others such as LDA+DMFT will be an integral part of the School.

Lectures will be pedagogical, presented in a logical sequence and some review material will make sure students are on the same page.

The School will

• Give an in-depth introduction to the main numerical methods used in the study of quantum materials, so that the student will be able to use them, become familiar with the breakthroughs they allowed and be able to make a critical appraisal of each method's relative strengths and weaknesses.
• Illustrate and contribute to the dramatic cross-fertilization that is occurring between ab initio Density Functional approaches and methods developed for highly correlated quantum materials such as Dynamical Mean-Field Theory (DMFT), Continuous-Time Quantum Monte Carlo solvers, Density Matrix Renormalization Group, Quantum Cluster Approaches (Dynamical Cluster Approximation, Cellular Dynamical Mean-Field Theory, Variational Cluster Approximation).
• Discuss ideas from quantum information that have led to dramatic improvements in methods such as the Density Matrix Renormalization Group.

Sincerely yours,

André-Marie Tremblay (U. Sherbrooke)
Michel Côté (U. Montréal)
Gabriel Kotliar (Rutgers U.)
Roger Melko (U. Waterloo)
David Sénéchal (U. Sherbrooke)