activity
20172021
most citedMachine Learning of Explicit Order Parameters: From the Ising Model to SU(2) Lattice Gauge Theory

146 citations · 191 across the 4 of their papers we have counts for

collaborators

10 papers

hep-lat2021

Simulating Yang-Mills theories with a complex coupling

Jan M. Pawlowski, Manuel Scherzer, Christian Schmidt +2

We propose a novel simulation strategy for Yang-Mills theories with a complex coupling, based on the Lefschetz thimble decomposition. We envisage, that the approach developed in th…

hep-lat2020

Deconfinement transition line with the Complex Langevin equation up to

M. Scherzer, D. Sexty, I. -O. Stamatescu

We study the deconfinement transition line in QCD for quark chemical potentials up to (). To circumvent the sign problem we use the complex Langevin e…

hep-lat2020

Simulating gauge theories on Lefschetz thimbles

Jan M. Pawlowski, Manuel Scherzer, Christian Schmidt +2

Lefschetz thimbles have been proposed recently as a possible solution to the complex action problem (sign problem) in Monte Carlo simulations. Here we discuss pure abelian gauge th…

hep-lat201945 cited

Controlling Complex Langevin simulations of lattice models by boundary term analysis

M. Scherzer, E. Seiler, D. Sexty +1

One reason for the well known fact that the Complex Langevin (CL) method sometimes fails to converge or converges to the wrong limit has been identified long ago: it is insufficien…

physics.comp-ph2019

Spectral Reconstruction with Deep Neural Networks

Lukas Kades, Jan M. Pawlowski, Alexander Rothkopf +5

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. Our a…

hep-lat2019

Reweighting Lefschetz Thimbles

Stefan Bluecher, Jan M. Pawlowski, Manuel Scherzer +4

We present a novel reweighting technique to calculate the relative weights in the Lefschetz thimble decomposition of a path integral. Our method is put to work using a one-l…