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

146 citations · 385 across the 10 of their papers we have counts for

collaborators

11 papers

hep-lat2021★ 12 cited

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★ 26 cited

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-lat2019★ 45 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★ 71 cited

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…

hep-lat2018

Complex Langevin: Boundary terms and application to QCD

Manuel Scherzer, Erhard Seiler, Dénes Sexty +1

We employ the Complex Langevin method for simulation of complex-valued actions. First, we show how to test for convergence of the method by explicitely computing boundary terms and…

hep-lat2018★ 60 cited

Complex Langevin and boundary terms

Manuel Scherzer, Erhard Seiler, Dénes Sexty +1

As is well known the Complex Langevin (CL) method sometimes fails to converge or converges to the wrong limit. We identified one reason for this long ago: insufficient decay of the…

hep-lat2018★ 19 cited

Reweighting Lefschetz Thimbles

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

One of the main challenges in simulations on Lefschetz thimbles is the computation of the relative weights of contributing thimbles. In this paper we propose a solution to that pro…

hep-lat2017★ 6 cited

Getting even with CLE

Gert Aarts, Kirill Boguslavski, Manuel Scherzer +3

In the landscape of approaches toward the simulation of Lattice Models with complex action the Complex Langevin (CL) appears as a straightforward method with a simple, well defined…

cond-mat.stat-mech2017★ 146 cited

Machine Learning of Explicit Order Parameters: From the Ising Model to SU(2) Lattice Gauge Theory

Sebastian Johann Wetzel, Manuel Scherzer

We present a procedure for reconstructing the decision function of an artificial neural network as a simple function of the input, provided the decision function is sufficiently sy…