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@ARTICLE{Wynen:872981,
author = {Wynen, Jan-Lukas and Berkowitz, Evan and Körber,
Christopher and Lähde, Timo A. and Luu, Tom},
title = {{A}voiding ergodicity problems in lattice discretizations
of the {H}ubbard model},
journal = {Physical review / B},
volume = {100},
number = {7},
issn = {0163-1829},
address = {Woodbury, NY},
publisher = {Inst.},
reportid = {FZJ-2020-00438},
pages = {075141},
year = {2019},
abstract = {The Hubbard model arises naturally when electron-electron
interactions are added to the tight-binding descriptions of
many condensed matter systems. For instance, the
two-dimensional Hubbardmodel on the honeycomb lattice is
central to the ab initio description of the electronic
structure ofcarbon nanomaterials, such as graphene. Such
low-dimensional Hubbard models are advantageouslystudied
with Markov chain Monte Carlo methods, such as Hybrid Monte
Carlo (HMC). HMC is thestandard algorithm of the lattice
gauge theory community, as it is well suited to theories of
dynamicalfermions. As HMC performs continuous, global
updates of the lattice degrees of freedom, it
providessuperior scaling with system size relative to local
updating methods. A potential drawback of HMCis its
susceptibility to ergodicity problems due to so-called
exceptional configurations, for which thefermion operator
cannot be inverted. Recently, ergodicity problems were found
in some formulationsof HMC simulations of the Hubbard model.
Here, we address this issue directly and clarify underwhat
conditions ergodicity is maintained or violated in HMC
simulations of the Hubbard model.We study different lattice
formulations of the fermion operator and provide explicit,
representativecalculations for small systems, often
comparing to exact results. We show that a fermion
operatorcan be found which is both computationally
convenient and free of ergodicity problems.},
cin = {IAS-4 / IKP-3 / JARA-HPC},
ddc = {530},
cid = {I:(DE-Juel1)IAS-4-20090406 / I:(DE-Juel1)IKP-3-20111104 /
$I:(DE-82)080012_20140620$},
pnm = {574 - Theory, modelling and simulation (POF3-574) / Carbon
Nano-Structures with High-Performance Computing
$(jjsc37_20180501)$},
pid = {G:(DE-HGF)POF3-574 / $G:(DE-Juel1)jjsc37_20180501$},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000482213800001},
doi = {10.1103/PhysRevB.100.075141},
url = {https://juser.fz-juelich.de/record/872981},
}