%0 Conference Paper
%A Willsch, Madita
%T A study of QAOA using the Jülich Universal Quantum Computer Simulator
%M FZJ-2021-03847
%D 2021
%X We study the quantum approximate optimization algorithm (QAOA) by simulating QAOA circuits using the Jülich Universal Quantum Computer Simulator (JUQCS). JUQCS is a massively parallel, GPU-accelerated quantum state-vector simulator which allows us to obtain, for a given QAOA circuit, the exact energy expectation value and success probability. We discuss the relation between QAOA and quantum annealing.In particular, we investigate how a coarsely discretized quantum annealing schedule can be used to obtain reasonable initializations for QAOA, and in which cases we may circumvent the costly optimization procedure.
%B Workshop on Enabling Technology and Algorithms for Quantum Computing
%C 13 Apr 2021 - 14 Apr 2021, Chalmers University of Technology (online) (Sweden)
Y2 13 Apr 2021 - 14 Apr 2021
M2 Chalmers University of Technology (online), Sweden
%F PUB:(DE-HGF)6
%9 Conference Presentation
%U https://juser.fz-juelich.de/record/901824