Abstract:Année de publication : 2005
Lectures' roadmap * Quantum Monte Carlo: why and when ? * Lecture I: Introduction - Classical Monte Carlo techniques in statistical physics: a brief review - Quantum Monte Carlo I: Path integral vs. series expansion approach, sign problem, (local update, continuous time) * Lecture II: QMC: How-to's - Quantum Monte Carlo II: (local update, continuous time) - Algorithms: loop algorithm, Stochastic Series Expansion, worm algorithm * Lecture III: Recent developments - Multicanonical sampling, Quantum Wang-Landau algorithm - NP completeness of the sign problem ? - Implementation of algorithms: towards community codes
QMC.Lecture1.pdf QMC.Lecture2.pdf QMC.Lecture3.pdf