Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of GraphSearch.
This lecture by the instructor covers advanced path integral methods in computational science and modeling, focusing on accelerated techniques and the latest developments. Topics include efficient sampling with Langevin equations, colored noise, high-order path integrals, multiple time stepping, and advanced path integral techniques. The lecture delves into the connection between quantum and classical systems, the Langevin equation, stochastic differential equations, and the use of colored noise in Langevin dynamics. It also explores the concept of a 'quantum' thermostat, systematic convergence of non-equilibrium systems, and the challenges and benefits of high-order path integrals.