no code implementations • 3 Aug 2020 • Stefanie Czischek, Andreas Baumbach, Sebastian Billaudelle, Benjamin Cramer, Lukas Kades, Jan M. Pawlowski, Markus K. Oberthaler, Johannes Schemmel, Mihai A. Petrovici, Thomas Gasenzer, Martin Gärttner
The approximation of quantum states with artificial neural networks has gained a lot of attention during the last years.
no code implementations • 3 Mar 2020 • Stefan Bluecher, Lukas Kades, Jan M. Pawlowski, Nils Strodthoff, Julian M. Urban
Machine learning has the potential to aid our understanding of phase structures in lattice quantum field theories through the statistical analysis of Monte Carlo samples.
no code implementations • 10 May 2019 • Lukas Kades, Jan M. Pawlowski, Alexander Rothkopf, Manuel Scherzer, Julian M. Urban, Sebastian J. Wetzel, Nicolas Wink, Felix P. G. Ziegler
We explore artificial neural networks as a tool for the reconstruction of spectral functions from imaginary time Green's functions, a classic ill-conditioned inverse problem.
no code implementations • 16 Jan 2019 • Lukas Kades, Jan M. Pawlowski
A formulation of Langevin dynamics for discrete systems is derived as a class of generic stochastic processes.