366 citations · 2.6k across the 128 of their papers we have counts for
136 papers
Learning Low-Order Approximations of the Quark Propagator in Lattice QCD
Simon Pfahler, Maren Käfferlein, Daniel Knüttel +2
The hopping expansion is an important approximation of the quark propagator in lattice quantum chromodynamics, but it diverges for light quarks, which limits the scope of strong-co…
Order-separated tensor-network method for QCD in the strong-coupling expansion
Thomas Samberger, Jacques Bloch, Robert Lohmayer +1
We introduce the order-separated Grassmann higher-order tensor renormalization group (OS-GHOTRG) method for QCD with staggered quarks in the strong-coupling expansion. The method a…
A novel gauge-equivariant neural-network architecture for preconditioners in lattice QCD
Simon Pfahler, Daniel Knüttel, Christoph Lehner +1
Lattice QCD simulations are computationally expensive, with the solution of the Dirac equation being the major computational bottleneck of many calculations. We introduce a novel g…
Tensor-network formulation of QCD in the strong-coupling expansion
Thomas Samberger, Jacques Bloch, Robert Lohmayer +1
We present a tensor-network formulation for the strong-coupling expansion of QCD with staggered quarks at nonzero chemical potential, for arbitrary number of dimensions, colors, an…
Combined track finding with GNN & CKF
Lukas Heinrich, Benjamin Huth, Andreas Salzburger +1
The application of Graph Neural Networks (GNN) in track reconstruction is a promising approach to cope with the challenges arising at the High-Luminosity upgrade of the Large Hadro…
Taming numerical imprecision by adapting the KL divergence to negative probabilities
Simon Pfahler, Peter Georg, Rudolf Schill +4
The Kullback-Leibler (KL) divergence is frequently used in data science. For discrete distributions on large state spaces, approximations of probability vectors may result in a few…