Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Adaptive-weighted Tree Tensor Networks for disordered quantum many-body
  systems   We introduce an adaptive-weighted Tree Tensor Network, for the study of
disordered and inhomogeneous quantum many-body systems. This ansatz is
assembled on the basis of the random couplings of the physical system with a
procedure that considers a tunable weight parameter to prevent completely
unbalanced trees. Using this approach, we compute the ground state of the
two-dimensional quantum Ising model in the presence of quenched random disorder
and frustration, with lattice size up to $32 \times 32$. We compare the results
with the ones obtained using the standard homogeneous Tree Tensor Networks and
the completely self-assembled Tree Tensor Networks, demonstrating a clear
improvement of numerical precision as a function of the weight parameter,
especially for large system sizes.

1
The categories of this paper are: cs
22
The categories of this paper are: chao-dyn
7
The categories of this paper are: hep-th
8
The categories of this paper are: hep-ex
34
The categories of this paper are: chem-ph
0
The categories of this paper are: hep-ph
37
The categories of this paper are: supr-con
17
The categories of this paper are: q-fin
11
The categories of this paper are: hep-lat
36
The categories of this paper are: cmp-lg
18
The categories of this paper are: econ
32
The categories of this paper are: atom-ph
33
The categories of this paper are: plasm-ph
24
The categories of this paper are: dg-ga
31
The categories of this paper are: ao-sci
20
The categories of this paper are: acc-phys