Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Neural-Network Quantum States: A Systematic Review   The so-called contemporary AI revolution has reached every corner of the
social, human and natural sciences -- physics included. In the context of
quantum many-body physics, its intersection with machine learning has
configured a high-impact interdisciplinary field of study; with the arise of
recent seminal contributions that have derived in a large number of
publications. One particular research line of such field of study is the
so-called Neural-Network Quantum States, a powerful variational computational
methodology for the solution of quantum many-body systems that has proven to
compete with well-established, traditional formalisms. Here, a systematic
review of literature regarding Neural-Network Quantum States is presented.

3
The categories of this paper are: physics
2
The categories of this paper are: math
30
The categories of this paper are: q-alg
21
The categories of this paper are: adap-org
27
The categories of this paper are: comp-gas
0
The categories of this paper are: hep-ph
26
The categories of this paper are: bayes-an
9
The categories of this paper are: nlin
29
The categories of this paper are: funct-an
33
The categories of this paper are: plasm-ph
5
The categories of this paper are: gr-qc
28
The categories of this paper are: alg-geom
37
The categories of this paper are: supr-con
24
The categories of this paper are: dg-ga
18
The categories of this paper are: econ
10
The categories of this paper are: q-bio