Tailoring potentials by simulation-aided design of gate layouts for spin qubit applications Article Swipe
YOU?
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· 2023
· Open Access
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· DOI: https://doi.org/10.48550/arxiv.2303.13358
Gate-layouts of spin qubit devices are commonly adapted from previous successful devices. As qubit numbers and the device complexity increase, modelling new device layouts and optimizing for yield and performance becomes necessary. Simulation tools from advanced semiconductor industry need to be adapted for smaller structure sizes and electron numbers. Here, we present a general approach for electrostatically modelling new spin qubit device layouts, considering gate voltages, heterostructures, reservoirs and an applied source-drain bias. Exemplified by a specific potential, we study the influence of each parameter. We verify our model by indirectly probing the potential landscape of two design implementations through transport measurements. We use the simulations to identify critical design areas and optimize for robustness with regard to influence and resolution limits of the fabrication process.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2303.13358
- https://arxiv.org/pdf/2303.13358
- OA Status
- green
- Cited By
- 1
- References
- 46
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4360891263
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4360891263Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.2303.13358Digital Object Identifier
- Title
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Tailoring potentials by simulation-aided design of gate layouts for spin qubit applicationsWork title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-03-23Full publication date if available
- Authors
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Inga Seidler, Malte Neul, Eugen Kammerloher, Matthias Künne, Andreas Schmidbauer, Laura K. Diebel, Arne Ludwig, Julian Ritzmann, Andreas D. Wieck, Dominique Bougeard, Hendrik Bluhm, Lars R. SchreiberList of authors in order
- Landing page
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https://arxiv.org/abs/2303.13358Publisher landing page
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https://arxiv.org/pdf/2303.13358Direct link to full text PDF
- Open access
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
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https://arxiv.org/pdf/2303.13358Direct OA link when available
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Robustness (evolution), Qubit, Computer science, Fabrication, Electronic engineering, Voltage, Computer engineering, Nanotechnology, Electrical engineering, Materials science, Physics, Engineering, Quantum, Chemistry, Quantum mechanics, Biochemistry, Medicine, Alternative medicine, Gene, PathologyTop concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
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2023: 1Per-year citation counts (last 5 years)
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46Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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