Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: The Hubbard model with fermionic tensor networks   Many electromagnetic properties of graphene can be described by the Hubbard
model on a honeycomb lattice. However, this system suffers strongly from the
sign problem if a chemical potential is included. Tensor network methods are
not affected by this problem. We use the imaginary time evolution of a
fermionic projected entangled pair state, which allows to simulate both parity
sectors independently. Incorporating the fermionic nature on the level of the
tensor network allows to fix the particle number to be either even or odd. This
way we can access the states at half filling and with one additional electron.
We calculate the energy and other observables of both states, which was not
possible before with Monte Carlo methods.

17
The categories of this paper are: q-fin
2
The categories of this paper are: math
33
The categories of this paper are: plasm-ph
5
The categories of this paper are: gr-qc
13
The categories of this paper are: quant-ph
15
The categories of this paper are: nucl-ex
26
The categories of this paper are: bayes-an
1
The categories of this paper are: cs
32
The categories of this paper are: atom-ph
18
The categories of this paper are: econ
35
The categories of this paper are: mtrl-th
25
The categories of this paper are: patt-sol
7
The categories of this paper are: hep-th
21
The categories of this paper are: adap-org
30
The categories of this paper are: q-alg
22
The categories of this paper are: chao-dyn