105 citations · 170 across the 6 of their papers we have counts for
6 papers
Machine-learned RG-improved gauge actions and classically perfect gradient flows
Kieran Holland, Andreas Ipp, David I. Müller +1
Extracting continuum properties of quantum field theories from discretized spacetime is challenging due to lattice artifacts. Renormalization-group (RG)-improved lattice actions ca…
HMC and gradient flow with machine-learned classically perfect fixed-point actions
Kieran Holland, Andreas Ipp, David I. Müller +1
Fixed-point (FP) lattice actions are classically perfect, i.e., they have continuum classical properties unaffected by discretization effects and are expected to have suppressed la…
Machine learning a fixed point action for SU(3) gauge theory with a gauge equivariant convolutional neural network
Kieran Holland, Andreas Ipp, David I. Müller +1
Fixed point lattice actions are designed to have continuum classical properties unaffected by discretization effects and reduced lattice artifacts at the quantum level. They provid…
Fixed point actions from convolutional neural networks
Kieran Holland, Andreas Ipp, David I. Müller +1
Lattice gauge-equivariant convolutional neural networks (L-CNNs) can be used to form arbitrarily shaped Wilson loops and can approximate any gauge-covariant or gauge-invariant func…
Testing the fixed-point QCD action and the construction of chiral currents
P. Hasenfratz, S. Hauswirth, K. Holland +2
We present the first set of quenched QCD measurements using the recently parametrized fixed-point Dirac operator D^FP. We also give a general and practical construction of covarian…
The construction of generalized Dirac operators on the lattice
P. Hasenfratz, S. Hauswirth, K. Holland +3
We discuss the steps to construct Dirac operators which have arbitrary fermion offsets, gauge paths, a general structure in Dirac space and satisfy the basic symmetries (gauge symm…