Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Computation of molecular excited states on IBM quantum computers using a
  discriminative variational quantum eigensolver   Solving for molecular excited states remains one of the key challenges of
modern quantum chemistry. Traditional methods are constrained by existing
computational capabilities, limiting the complexity of the molecules that can
be studied or the accuracy of the results that can be obtained. Several quantum
computing methods have been suggested to address this limitation. However,
these typically have hardware requirements which may not be achieved in the
near term. We propose a variational quantum machine learning based method to
determine molecular excited states aiming at being as resilient as possible to
the defects of early Noisy Intermediate Scale Quantum (NISQ) computers and
demonstrate an implementation for H2 on IBMQ. Our method uses a combination of
two parametrized quantum circuits, working in tandem, combined with a
Variational Quantum Eigensolver (VQE) to iteratively find the eigenstates of a
molecular Hamiltonian.

30
The categories of this paper are: q-alg
1
The categories of this paper are: cs
18
The categories of this paper are: econ
6
The categories of this paper are: astro-ph
33
The categories of this paper are: plasm-ph
4
The categories of this paper are: cond-mat
21
The categories of this paper are: adap-org
10
The categories of this paper are: q-bio
22
The categories of this paper are: chao-dyn
37
The categories of this paper are: supr-con
16
The categories of this paper are: stat
20
The categories of this paper are: acc-phys
26
The categories of this paper are: bayes-an
28
The categories of this paper are: alg-geom
23
The categories of this paper are: solv-int
8
The categories of this paper are: hep-ex