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@ARTICLE{Wittler:890938,
      author       = {Wittler, Nicolas and Roy, Federico and Pack, Kevin and
                      Werninghaus, Max and Roy, Anurag Saha and Egger, Daniel J.
                      and Filipp, Stefan and Wilhelm, Frank K. and Machnes, Shai},
      title        = {{I}ntegrated {T}ool {S}et for {C}ontrol, {C}alibration, and
                      {C}haracterization of {Q}uantum {D}evices {A}pplied to
                      {S}uperconducting {Q}ubits},
      journal      = {Physical review applied},
      volume       = {15},
      number       = {3},
      issn         = {2331-7019},
      address      = {College Park, Md. [u.a.]},
      publisher    = {American Physical Society},
      reportid     = {FZJ-2021-01260},
      pages        = {034080},
      year         = {2021},
      abstract     = {Efforts to scale-up quantum computation have reached a
                      point where the principal limiting factor is not the number
                      of qubits, but the entangling gate infidelity. However, the
                      highly detailed system characterization required to
                      understand the underlying error sources is an arduous
                      process and impractical with increasing chip size. Open-loop
                      optimal control techniques allow for the improvement of
                      gates but are limited by the models they are based on. To
                      rectify the situation, we provide an integrated open-source
                      tool set for control, calibration, and characterization
                      (C3), capable of open-loop pulse optimization, model-free
                      calibration, model fitting, and refinement. We present a
                      methodology to combine these tools to find a quantitatively
                      accurate system model, high-fidelity gates, and an
                      approximate error budget, all based on a high-performance,
                      feature-rich simulator. We illustrate our methods using
                      simulated fixed-frequency superconducting qubits for which
                      we learn model parameters with less than $1\%$ error and
                      derive a coherence-limited cross-resonance gate that
                      achieves $99.6\%$ fidelity without the need for
                      calibration.},
      cin          = {PGI-12},
      ddc          = {530},
      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:000672600600002},
      doi          = {10.1103/PhysRevApplied.15.034080},
      url          = {https://juser.fz-juelich.de/record/890938},
}