Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Variational Quantum Monte Carlo Method with a Neural-Network Ansatz for
  Open Quantum Systems   The possibility to simulate the properties of many-body open quantum systems
with a large number of degrees of freedom is the premise to the solution of
several outstanding problems in quantum science and quantum information. The
challenge posed by this task lies in the complexity of the density matrix
increasing exponentially with the system size. Here, we develop a variational
method to efficiently simulate the non-equilibrium steady state of Markovian
open quantum systems based on variational Monte Carlo and on a neural network
representation of the density matrix. Thanks to the stochastic reconfiguration
scheme, the application of the variational principle is translated into the
actual integration of the quantum master equation. We test the effectiveness of
the method by modeling the two-dimensional dissipative XYZ spin model on a
lattice.

36
The categories of this paper are: cmp-lg
29
The categories of this paper are: funct-an
25
The categories of this paper are: patt-sol
19
The categories of this paper are: eess
21
The categories of this paper are: adap-org
20
The categories of this paper are: acc-phys
8
The categories of this paper are: hep-ex
10
The categories of this paper are: q-bio
35
The categories of this paper are: mtrl-th
24
The categories of this paper are: dg-ga
30
The categories of this paper are: q-alg
28
The categories of this paper are: alg-geom
33
The categories of this paper are: plasm-ph
32
The categories of this paper are: atom-ph
2
The categories of this paper are: math
7
The categories of this paper are: hep-th