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@INPROCEEDINGS{Duipmans:1022080,
      author       = {Duipmans, Lammert and van Waasen, Stefan and Geck, Lotte},
      title        = {{C}o-{S}imulation and {O}ptimization of {S}emiconductor
                      {S}pin {Q}ubits with {C}ryogenic {I}ntegrated {E}lectronics},
      reportid     = {FZJ-2024-01217},
      year         = {2023},
      abstract     = {In order to realize quantum computers that serve a broad
                      range of applications, quantum error correction is necessary
                      to minimize the error rate caused by various disturbances.
                      This requires quantum processors to have a large number of
                      qubits with high operation fidelities.Silicon spin qubits in
                      quantum dots are a promising candidate to meet these
                      requirements, because they provide the advantage of
                      large-scale 3D integration with industrial CMOS processes.
                      However, inherent non-ideal effects of electronics, such as
                      noise, power consumption and crosstalk affect the qubit
                      fidelity. Moreover, requirements for a minimum qubit
                      fidelity are commonly difficult or impossible to translate
                      to accurate, unambiguous requirements for electronics.
                      Consequently, an environment enabling the co-design and
                      co-simulation of the quantum system together with the
                      integrated electronics is indispensable to reach a truly
                      scalable hybrid system. We developed a methodology that uses
                      Python as an interface between the quantum simulator and the
                      circuit simulator. From within Python, many different tool
                      packages specifically for quantum simulation are accessible,
                      while an interface to the Cadence Spectre simulator enables
                      including the effects of integrated electronics. The circuit
                      netlist can be imported unaltered and an explicit
                      understanding of the circuit behavior or the Cadence
                      simulation environment is not necessary. We demonstrate the
                      proposed methodology with a co-optimization loop involving a
                      circuit for the generation of control signals for an
                      electron-shuttling device. This so-called Quantum Bus
                      (QuBus) is an important building block of the SpinBus
                      architecture, which is a recently proposed large-scale
                      quantum processor architecture based on Si/SiGe qubits
                      [1].[1] Künne, M. et al. The spinbus architecture: Scaling
                      spin qubits with electron shuttling. Preprint at
                      https://arxiv.org/abs/2306.16348 (2023).},
      month         = {Oct},
      date          = {2023-10-31},
      organization  = {Silicon Quantum Electronics Workshop
                       2023, Kyoto (Japan), 31 Oct 2023 - 2
                       Nov 2023},
      subtyp        = {After Call},
      cin          = {ZEA-2},
      cid          = {I:(DE-Juel1)ZEA-2-20090406},
      pnm          = {5223 - Quantum-Computer Control Systems and Cryoelectronics
                      (POF4-522)},
      pid          = {G:(DE-HGF)POF4-5223},
      typ          = {PUB:(DE-HGF)24},
      url          = {https://juser.fz-juelich.de/record/1022080},
}