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@INPROCEEDINGS{Willsch:901824,
      author       = {Willsch, Madita},
      title        = {{A} study of {QAOA} using the {J}ülich {U}niversal
                      {Q}uantum {C}omputer {S}imulator},
      reportid     = {FZJ-2021-03847},
      year         = {2021},
      abstract     = {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.},
      month         = {Apr},
      date          = {2021-04-13},
      organization  = {Workshop on Enabling Technology and
                       Algorithms for Quantum Computing,
                       Chalmers University of Technology
                       (online) (Sweden), 13 Apr 2021 - 14 Apr
                       2021},
      subtyp        = {Invited},
      cin          = {JSC},
      cid          = {I:(DE-Juel1)JSC-20090406},
      pnm          = {5111 - Domain-Specific Simulation $\&$ Data Life Cycle Labs
                      (SDLs) and Research Groups (POF4-511)},
      pid          = {G:(DE-HGF)POF4-5111},
      typ          = {PUB:(DE-HGF)6},
      url          = {https://juser.fz-juelich.de/record/901824},
}