001     1022081
005     20250129092439.0
037 _ _ |a FZJ-2024-01218
100 1 _ |a Duipmans, Lammert
|0 P:(DE-Juel1)186966
|b 0
|e Corresponding author
111 2 _ |a IceQubes: International Workshop on Cryogenic Electronics for Quantum Systems
|g IceQubes 2024
|c Sydney
|d 2024-01-15 - 2024-01-19
|w Australia
245 _ _ |a Co-simulation: Bridging the Gap between Physicists and Circuit Designers
260 _ _ |c 2024
336 7 _ |a Conference Paper
|0 33
|2 EndNote
336 7 _ |a Other
|2 DataCite
336 7 _ |a INPROCEEDINGS
|2 BibTeX
336 7 _ |a conferenceObject
|2 DRIVER
336 7 _ |a LECTURE_SPEECH
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336 7 _ |a Conference Presentation
|b conf
|m conf
|0 PUB:(DE-HGF)6
|s 1707109801_22099
|2 PUB:(DE-HGF)
|x Invited
520 _ _ |a Semiconductor spin qubits are a promising candidate to meet the requirements for universal quantum computing, 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 of the quantum system together with the integrated electronics and therefore bridging the gap between the physical and electronic domain is essential. We developed a co-simulation methodology in Python that includes an interface to the Cadence Spectre simulator to take the effects of integrated electronics into account. We demonstrate the proposed methodology with a co-optimization loop involving a circuit for the generation of control signals for an electron-shuttling device.
536 _ _ |a 5223 - Quantum-Computer Control Systems and Cryoelectronics (POF4-522)
|0 G:(DE-HGF)POF4-5223
|c POF4-522
|f POF IV
|x 0
909 C O |o oai:juser.fz-juelich.de:1022081
|p VDB
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 0
|6 P:(DE-Juel1)186966
913 1 _ |a DE-HGF
|b Key Technologies
|l Natural, Artificial and Cognitive Information Processing
|1 G:(DE-HGF)POF4-520
|0 G:(DE-HGF)POF4-522
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-500
|4 G:(DE-HGF)POF
|v Quantum Computing
|9 G:(DE-HGF)POF4-5223
|x 0
914 1 _ |y 2024
920 1 _ |0 I:(DE-Juel1)ZEA-2-20090406
|k ZEA-2
|l Zentralinstitut für Elektronik
|x 0
980 _ _ |a conf
980 _ _ |a VDB
980 _ _ |a I:(DE-Juel1)ZEA-2-20090406
980 _ _ |a UNRESTRICTED
981 _ _ |a I:(DE-Juel1)PGI-4-20110106


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