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@ARTICLE{Dalgaard:910893,
      author       = {Dalgaard, Mogens and Weidner, Carrie A. and Motzoi, Felix},
      title        = {{D}ynamical {U}ncertainty {P}ropagation with {N}oisy
                      {Q}uantum {P}arameters},
      journal      = {Physical review letters},
      volume       = {128},
      number       = {15},
      issn         = {0031-9007},
      address      = {College Park, Md.},
      publisher    = {APS},
      reportid     = {FZJ-2022-04243},
      pages        = {150503},
      year         = {2022},
      abstract     = {Many quantum technologies rely on high-precision dynamics,
                      which raises the question of how these are influenced by the
                      experimental uncertainties that are always present in
                      real-life settings. A standard approach in the literature to
                      assess this is Monte Carlo sampling, which suffers from two
                      major drawbacks. First, it is computationally expensive.
                      Second, it does not reveal the effect that each individual
                      uncertainty parameter has on the state of the system. In
                      this Letter, we evade both these drawbacks by incorporating
                      propagation of uncertainty directly into simulations of
                      quantum dynamics, thereby obtaining a method that is orders
                      of magnitude faster than Monte Carlo simulations and
                      directly provides information on how each uncertainty
                      parameter influences the system dynamics. Additionally, we
                      compare our method to experimental results obtained using
                      the IBM quantum computers.},
      cin          = {PGI-8},
      ddc          = {530},
      cid          = {I:(DE-Juel1)PGI-8-20190808},
      pnm          = {5221 - Advanced Solid-State Qubits and Qubit Systems
                      (POF4-522) / EXC 2004:  Matter and Light for Quantum
                      Computing (ML4Q) (390534769)},
      pid          = {G:(DE-HGF)POF4-5221 / G:(BMBF)390534769},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {35499880},
      UT           = {WOS:000792585200010},
      doi          = {10.1103/PhysRevLett.128.150503},
      url          = {https://juser.fz-juelich.de/record/910893},
}