19 citations · 34 across the 13 of their papers we have counts for
14 papers
Nucleon-sigma terms at with a variational analysis from lattice QCD
Lorenzo Barca, Gunnar Bali, Sara Collins +1
Nucleon sigma terms are important for the decomposition of the nucleon mass and for searches for new physics beyond the Standard Model involving scalar interactions. A persistent t…
Third moments of nucleon unpolarized, polarized, and transversity parton distribution functions from physical-point lattice QCD
Emilio Taggi, Michael Engelhardt, Jeremy R. Green +6
Using forward matrix elements of local leading-twist operators, we present a determination of the isovector third Mellin moments of nucleon unpolarized, polari…
Simulating Correlated Electrons with Symmetry-Enforced Normalizing Flows
Dominic Schuh, Janik Kreit, Evan Berkowitz +4
We present the first proof of principle that normalizing flows can accurately learn the Boltzmann distribution of the fermionic Hubbard model - a key framework for describing the e…
Exploring Group Convolutional Networks for Sign Problem Mitigation via Contour Deformation
Christoph Gäntgen, Thomas Luu, Marcel Rodekamp
The sign problem that arises in Hybrid Monte Carlo calculations can be mitigated by deforming the integration manifold. While simple transformations are highly efficient for simula…
Search for Stable States in Two-Body Excitations of the Hubbard Model on the Honeycomb Lattice
Petar Sinilkov, Evan Berkowitz, Thomas Luu +1
We present one- and two-body measurements for the Hubbard model on the honeycomb (graphene) lattice from ab-initio quantum monte carlo simulations. Of particular interest is excito…
Simulating the Hubbard Model with Equivariant Normalizing Flows
Dominic Schuh, Janik Kreit, Evan Berkowitz +4
Generative models, particularly normalizing flows, have shown exceptional performance in learning probability distributions across various domains of physics, including statistical…
Reducing the Sign Problem with simple Contour Deformation
Christoph Gäntgen, Evan Berkowitz, Thomas Luu +2
We apply constant imaginary offsets to the path integral for a reduction of the sign problem in the Hubbard model. These simple transformations enhance the quality of results from…
Single Particle Spectrum of Doped -Perylene
Marcel Rodekamp, Evan Berkowitz, Christoph Gäntgen +4
We present a Hamiltonian Monte Carlo study of doped perylene described with the Hubbard model. Doped perylene can be used for organic light-emittin…
Quark orbital angular momentum in the proton from a twist-3 generalized parton distribution
M. Engelhardt, N. Hasan, S. Krieg +6
Quark orbital angular momentum in the proton is evaluated via a Lattice QCD calculation of the second Mellin moment of the twist-3 generalized parton distribution $\widetilde{E}_{2…
Moments of Nucleon Unpolarized, Polarized, and Transversity Parton Distribution Functions from Lattice QCD at the Physical Point
Marcel Rodekamp, Michael Engelhardt, Jeremy R. Green +6
The second Mellin moments of the nucleon's unpolarized, polarized, and transversity parton distribution functions (PDFs) are computed. Two lattice QCD ensembles…
Fermionic Sign Problem Minimization by Constant Path Integral Contour Shifts
Christoph Gäntgen, Evan Berkowitz, Thomas Luu +2
The path integral formulation of quantum mechanical problems including fermions is often affected by a severe numerical sign problem. We show how such a sign problem can be allevia…
Moments of Parton Distributions Functions from Lattice QCD at the Physical Point
Marcel Rodekamp, Michael Engelhardt, Jeremy R. Green +5
We present a Lattice QCD calculation of the second Mellin moments of the nucleon axial, vector and tensor parton distribution functions (PDFs). The calculation is performed at the…
Mitigating the Hubbard Sign Problem. A Novel Application of Machine Learning
Marcel Rodekamp, Christoph Gäntgen
Many fascinating systems suffer from a severe (complex action) sign problem preventing us from calculating them with Markov Chain Monte Carlo simulations. One promising method to a…
Mitigating the Hubbard Sign Problem with Complex-Valued Neural Networks
Marcel Rodekamp, Evan Berkowitz, Christoph Gäntgen +3
Monte Carlo simulations away from half-filling suffer from a sign problem that can be reduced by deforming the contour of integration. Such a transformation, which induces a Jacobi…