Monte-Carlo Simulations of Quantum Field Theories with Dense Matter - Professor Kurt Langfield (University of Plymouth)
4:00pm - 5:00pm /
Tuesday 10th May 2016
/ Venue: Room 106 Mathematical Sciences Building
- 0151 794 4058
- Oleg Karpenkov
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Over the last 30 years, computer simulations of QCD, the theory of strong interactions, have matured into a first principle tool for reliable post- and predictions with controllable error margins.
Their success is based upon Importance Sampling using Monte-Carlo Markov chains. After a brief introduction to these computer simulations including some highlights in relation to QCD, I will address Quantum Field Theories of cold, but dense matter.
Since more than 30 years, these theories still await first principle computer results due to the notorious sign-problem, which makes Important Sampling impossible. In my talk, I will review the remarkable successes of the recent years to simulate those theories. I will then focus, in particular, on two promising methods: dualisation and the density-of-states approach.
Their success is based upon Importance Sampling using Monte-Carlo Markov chains. After a brief introduction to these computer simulations including some highlights in relation to QCD, I will address Quantum Field Theories of cold, but dense matter.
Since more than 30 years, these theories still await first principle computer results due to the notorious sign-problem, which makes Important Sampling impossible. In my talk, I will review the remarkable successes of the recent years to simulate those theories. I will then focus, in particular, on two promising methods: dualisation and the density-of-states approach.