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@ARTICLE{Hsu:865580,
      author       = {Hsu, Ting-Jui and Jin, Fengping and Seidel, Christian and
                      Neukart, Florian and Raedt, Hans De and Michielsen, Kristel},
      title        = {{Q}uantum {A}nnealing with {A}nneal {P}ath {C}ontrol:
                      {A}pplication to 2-{SAT} {P}roblems with {K}nown {E}nergy
                      {L}andscapes},
      journal      = {Communications in computational physics},
      volume       = {26},
      number       = {3},
      issn         = {1991-7120},
      address      = {Hong Kong},
      publisher    = {Global Science Press},
      reportid     = {FZJ-2019-04945},
      pages        = {928 - 946},
      year         = {2019},
      abstract     = {We study the effect of the anneal path control per qubit, a
                      new user control feature offered on the D-Wave 2000Q quantum
                      annealer, on the performance of quantum annealing for
                      solving optimization problems by numerically solving the
                      timedependent Schr ¨odinger equation for the time-dependent
                      Hamiltonian modeling the annealing problems. The anneal path
                      control is thereby modeled as a modified linear annealing
                      scheme, resulting in an advanced and retarded scheme. The
                      considered optimization problems are 2-SAT problems with 12
                      Boolean variables, a known unique ground state and a highly
                      degenerate first excited state. We show that adjustment of
                      the anneal path control can result in a widening of the
                      minimal spectral gap by one or two orders of magnitude and
                      an enhancement of the success probability of finding the
                      solution of the optimization problem. We scrutinize various
                      iterative methods based on the spin floppiness, the average
                      spin value, and on the average energy and describe their
                      performance in boosting the quantum annealing process.},
      cin          = {JSC},
      ddc          = {004},
      cid          = {I:(DE-Juel1)JSC-20090406},
      pnm          = {511 - Computational Science and Mathematical Methods
                      (POF3-511)},
      pid          = {G:(DE-HGF)POF3-511},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000466102300014},
      doi          = {10.4208/cicp.OA-2018-0257},
      url          = {https://juser.fz-juelich.de/record/865580},
}