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@ARTICLE{Piskor:910674,
author = {Piskor, Tomislav and Reiner, Jan-Michael and Zanker,
Sebastian and Vogt, Nicolas and Marthaler, Michael and
Wilhelm-Mauch, Frank and Eich, Florian G.},
title = {{U}sing gradient-based algorithms to determine ground-state
energies on a quantum computer},
journal = {Physical review / A},
volume = {105},
number = {6},
issn = {2469-9926},
address = {Woodbury, NY},
publisher = {Inst.},
reportid = {FZJ-2022-04047},
pages = {062415},
year = {2022},
abstract = {Variational algorithms are promising candidates to be
implemented on near-term quantum computers. In our work, we
investigate the variational Hamiltonian ansatz (VHA), where
a parametrized trial state of the quantum mechanical wave
function is optimized to obtain the ground-state energy. In
the VHA, the trial state is given by a noninteracting
reference state modified by unitary rotations using
generators that are part of the Hamiltonian describing the
system. The lowest energy is obtained by optimizing the
angles of those unitary rotations. A standard procedure to
optimize the variational parameters is to use gradient-based
algorithms. However, shot noise and the intrinsic noise of
the quantum device affect the evaluation of the required
gradients. We study how different methods for obtaining the
gradient, specifically the finite-difference and the
parameter-shift rule, are affected by shot noise and the
noise of the quantum computer. To this end, we simulate a
simple quantum circuit, as well as the two-site and six-site
Hubbard models.},
cin = {PGI-12},
ddc = {530},
cid = {I:(DE-Juel1)PGI-12-20200716},
pnm = {5223 - Quantum-Computer Control Systems and Cryoelectronics
(POF4-522)},
pid = {G:(DE-HGF)POF4-5223},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000812337800004},
doi = {10.1103/PhysRevA.105.062415},
url = {https://juser.fz-juelich.de/record/910674},
}