TY  - CONF
AU  - Willsch, Madita
TI  - A study of QAOA using the Jülich Universal Quantum Computer Simulator
M1  - FZJ-2021-03847
PY  - 2021
AB  - 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.
T2  - Workshop on Enabling Technology and Algorithms for Quantum Computing
CY  - 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
LB  - PUB:(DE-HGF)6
UR  - https://juser.fz-juelich.de/record/901824
ER  -