Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Noisy Bayesian optimization for variational quantum eigensolvers   The variational quantum eigensolver (VQE) is a hybrid quantum-classical
algorithm used to find the ground state of a Hamiltonian using variational
methods. In the context of this Lattice symposium, the procedure can be used to
study lattice gauge theories (LGTs) in the Hamiltonian formulation. Bayesian
optimization (BO) based on Gaussian process regression (GPR) is a powerful
algorithm for finding the global minimum of a cost function, e.g. the energy,
with a very low number of iterations using data affected by statistical noise.
This work proposes an implementation of GPR and BO specifically tailored to
perform VQE on quantum computers already available today.

27
The categories of this paper are: comp-gas
3
The categories of this paper are: physics
25
The categories of this paper are: patt-sol
6
The categories of this paper are: astro-ph
29
The categories of this paper are: funct-an
7
The categories of this paper are: hep-th
37
The categories of this paper are: supr-con
14
The categories of this paper are: math-ph
9
The categories of this paper are: nlin
20
The categories of this paper are: acc-phys
21
The categories of this paper are: adap-org
8
The categories of this paper are: hep-ex
24
The categories of this paper are: dg-ga
22
The categories of this paper are: chao-dyn
15
The categories of this paper are: nucl-ex
16
The categories of this paper are: stat