Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Kinetic samplers for neural quantum states   Neural quantum states (NQS) are a novel class of variational many-body wave
functions that are very flexible in approximating diverse quantum states.
Optimization of an NQS ansatz requires sampling from the corresponding
probability distribution defined by squared wave function amplitude. For this
purpose we propose to use kinetic sampling protocols and demonstrate that in
many important cases such methods lead to much smaller autocorrelation times
than Metropolis-Hastings sampling algorithm while still allowing to easily
implement lattice symmetries (unlike autoregressive models). We also use
Uniform Manifold Approximation and Projection algorithm to construct
two-dimensional isometric embedding of Markov chains and show that kinetic
sampling helps attain a more homogeneous and ergodic coverage of the Hilbert
space basis.

10
The categories of this paper are: q-bio
12
The categories of this paper are: nucl-th
25
The categories of this paper are: patt-sol
34
The categories of this paper are: chem-ph
21
The categories of this paper are: adap-org
35
The categories of this paper are: mtrl-th
9
The categories of this paper are: nlin
13
The categories of this paper are: quant-ph
37
The categories of this paper are: supr-con
17
The categories of this paper are: q-fin
31
The categories of this paper are: ao-sci
33
The categories of this paper are: plasm-ph
30
The categories of this paper are: q-alg
11
The categories of this paper are: hep-lat
22
The categories of this paper are: chao-dyn
26
The categories of this paper are: bayes-an