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@ARTICLE{Maass:1040947,
      author       = {Maass, Wolfgang and Agrawal, Ankit and Ciani, Alessandro
                      and Danz, Sven and Delgadillo, Alejandro and Ganser, Philipp
                      and Kienast, Pascal and Kulig, Marco and König, Valentina
                      and Rodellas-Gràcia, Nil and Rughubar, Rivan and Schröder,
                      Stefan and Stautner, Marc and Stein, Hannah and Stollenwerk,
                      Tobias and Zeuch, Daniel and Wilhelm-Mauch, Frank},
      title        = {{QUASIM}: {Q}uantum {C}omputing {E}nhanced {S}ervice
                      {E}cosystem for {S}imulation in {M}anufacturing},
      journal      = {Künstliche Intelligenz},
      volume       = {38},
      number       = {4},
      issn         = {0933-1875},
      address      = {Berlin},
      publisher    = {Springer},
      reportid     = {FZJ-2025-02069},
      pages        = {361 - 370},
      year         = {2024},
      abstract     = {Quantum computing (QC) and machine learning (ML), taken
                      individually or combined into quantum-assisted ML (QML), are
                      ascending computing paradigms whose calculations come with
                      huge potential for speedup, increase in precision, and
                      resource reductions. Likely improvements for numerical
                      simulations in engineering imply the possibility of a strong
                      economic impact on the manufacturing industry. In this
                      project report, we propose a framework for a quantum
                      computing-enhanced service ecosystem for simulation in
                      manufacturing, consisting of various layers ranging from
                      hardware to algorithms to service and organizational layers.
                      In addition, we give insight into the current state of the
                      art of applications research based on QC and QML, both from
                      a scientific and an industrial point of view. We further
                      analyze two high-value use cases with the aim of a
                      quantitative evaluation of these new computing paradigms for
                      industrially relevant settings.},
      cin          = {PGI-12},
      ddc          = {004},
      cid          = {I:(DE-Juel1)PGI-12-20200716},
      pnm          = {5221 - Advanced Solid-State Qubits and Qubit Systems
                      (POF4-522)},
      pid          = {G:(DE-HGF)POF4-5221},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:001344982800001},
      doi          = {10.1007/s13218-024-00860-x},
      url          = {https://juser.fz-juelich.de/record/1040947},
}