Modular Autonomous Virtualization System for Two-Dimensional Semiconductor Quantum Dot Arrays Article Swipe
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2411.12516
Arrays of gate-defined semiconductor quantum dots are among the leading candidates for building scalable quantum processors. High-fidelity initialization, control, and readout of spin qubit registers require exquisite and targeted control over key Hamiltonian parameters that define the electrostatic environment. However, due to the tight gate pitch, capacitive crosstalk between gates hinders independent tuning of chemical potentials and interdot couplings. While virtual gates offer a practical solution, determining all the required cross-capacitance matrices accurately and efficiently in large quantum dot registers is an open challenge. Here, we establish a modular automated virtualization system (MAViS) -- a general and modular framework for autonomously constructing a complete stack of multilayer virtual gates in real time. Our method employs machine learning techniques to rapidly extract features from two-dimensional charge stability diagrams. We then utilize computer vision and regression models to self-consistently determine all relative capacitive couplings necessary for virtualizing plunger and barrier gates in both low- and high-tunnel-coupling regimes. Using MAViS, we successfully demonstrate accurate virtualization of a dense two-dimensional array comprising ten quantum dots defined in a high-quality Ge/SiGe heterostructure. Our work offers an elegant and practical solution for the efficient control of large-scale semiconductor quantum dot systems.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2411.12516
- https://arxiv.org/pdf/2411.12516
- OA Status
- green
- Cited By
- 2
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4404573931
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4404573931Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.48550/arxiv.2411.12516Digital Object Identifier
- Title
-
Modular Autonomous Virtualization System for Two-Dimensional Semiconductor Quantum Dot ArraysWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-11-19Full publication date if available
- Authors
-
Amulya A. Nageswara Rao, Donovan Buterakos, Barnaby van Straaten, Valentin John, Cécile X. Yu, Stefan D. Oosterhout, Lucas E. A. Stehouwer, Giordano Scappucci, Menno Veldhorst, Francesco Borsoi, Justyna P. ZwolakList of authors in order
- Landing page
-
https://arxiv.org/abs/2411.12516Publisher landing page
- PDF URL
-
https://arxiv.org/pdf/2411.12516Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://arxiv.org/pdf/2411.12516Direct OA link when available
- Concepts
-
Modular design, Quantum dot, Virtualization, Semiconductor, Computer science, Nanotechnology, Optoelectronics, Materials science, Operating system, Cloud computingTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
2Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 2Per-year citation counts (last 5 years)
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.stack | 104 |
| abstract_inverted_index.tight | 43 |
| abstract_inverted_index.time. | 111 |
| abstract_inverted_index.Arrays | 0 |
| abstract_inverted_index.MAViS, | 156 |
| abstract_inverted_index.charge | 124 |
| abstract_inverted_index.define | 35 |
| abstract_inverted_index.method | 113 |
| abstract_inverted_index.models | 134 |
| abstract_inverted_index.offers | 179 |
| abstract_inverted_index.pitch, | 45 |
| abstract_inverted_index.system | 91 |
| abstract_inverted_index.tuning | 52 |
| abstract_inverted_index.vision | 131 |
| abstract_inverted_index.(MAViS) | 92 |
| abstract_inverted_index.Ge/SiGe | 175 |
| abstract_inverted_index.barrier | 147 |
| abstract_inverted_index.between | 48 |
| abstract_inverted_index.control | 29, 188 |
| abstract_inverted_index.defined | 171 |
| abstract_inverted_index.elegant | 181 |
| abstract_inverted_index.employs | 114 |
| abstract_inverted_index.extract | 120 |
| abstract_inverted_index.general | 95 |
| abstract_inverted_index.hinders | 50 |
| abstract_inverted_index.leading | 9 |
| abstract_inverted_index.machine | 115 |
| abstract_inverted_index.modular | 88, 97 |
| abstract_inverted_index.plunger | 145 |
| abstract_inverted_index.quantum | 4, 14, 77, 169, 192 |
| abstract_inverted_index.rapidly | 119 |
| abstract_inverted_index.readout | 20 |
| abstract_inverted_index.require | 25 |
| abstract_inverted_index.utilize | 129 |
| abstract_inverted_index.virtual | 60, 107 |
| abstract_inverted_index.However, | 39 |
| abstract_inverted_index.accurate | 160 |
| abstract_inverted_index.building | 12 |
| abstract_inverted_index.chemical | 54 |
| abstract_inverted_index.complete | 103 |
| abstract_inverted_index.computer | 130 |
| abstract_inverted_index.control, | 18 |
| abstract_inverted_index.features | 121 |
| abstract_inverted_index.interdot | 57 |
| abstract_inverted_index.learning | 116 |
| abstract_inverted_index.matrices | 71 |
| abstract_inverted_index.regimes. | 154 |
| abstract_inverted_index.relative | 139 |
| abstract_inverted_index.required | 69 |
| abstract_inverted_index.scalable | 13 |
| abstract_inverted_index.solution | 184 |
| abstract_inverted_index.systems. | 194 |
| abstract_inverted_index.targeted | 28 |
| abstract_inverted_index.automated | 89 |
| abstract_inverted_index.couplings | 141 |
| abstract_inverted_index.crosstalk | 47 |
| abstract_inverted_index.determine | 137 |
| abstract_inverted_index.diagrams. | 126 |
| abstract_inverted_index.efficient | 187 |
| abstract_inverted_index.establish | 86 |
| abstract_inverted_index.exquisite | 26 |
| abstract_inverted_index.framework | 98 |
| abstract_inverted_index.necessary | 142 |
| abstract_inverted_index.practical | 64, 183 |
| abstract_inverted_index.registers | 24, 79 |
| abstract_inverted_index.solution, | 65 |
| abstract_inverted_index.stability | 125 |
| abstract_inverted_index.accurately | 72 |
| abstract_inverted_index.candidates | 10 |
| abstract_inverted_index.capacitive | 46, 140 |
| abstract_inverted_index.challenge. | 83 |
| abstract_inverted_index.comprising | 167 |
| abstract_inverted_index.couplings. | 58 |
| abstract_inverted_index.multilayer | 106 |
| abstract_inverted_index.parameters | 33 |
| abstract_inverted_index.potentials | 55 |
| abstract_inverted_index.regression | 133 |
| abstract_inverted_index.techniques | 117 |
| abstract_inverted_index.Hamiltonian | 32 |
| abstract_inverted_index.demonstrate | 159 |
| abstract_inverted_index.determining | 66 |
| abstract_inverted_index.efficiently | 74 |
| abstract_inverted_index.independent | 51 |
| abstract_inverted_index.large-scale | 190 |
| abstract_inverted_index.processors. | 15 |
| abstract_inverted_index.autonomously | 100 |
| abstract_inverted_index.constructing | 101 |
| abstract_inverted_index.environment. | 38 |
| abstract_inverted_index.gate-defined | 2 |
| abstract_inverted_index.high-quality | 174 |
| abstract_inverted_index.successfully | 158 |
| abstract_inverted_index.virtualizing | 144 |
| abstract_inverted_index.High-fidelity | 16 |
| abstract_inverted_index.electrostatic | 37 |
| abstract_inverted_index.semiconductor | 3, 191 |
| abstract_inverted_index.virtualization | 90, 161 |
| abstract_inverted_index.initialization, | 17 |
| abstract_inverted_index.two-dimensional | 123, 165 |
| abstract_inverted_index.heterostructure. | 176 |
| abstract_inverted_index.cross-capacitance | 70 |
| abstract_inverted_index.self-consistently | 136 |
| abstract_inverted_index.high-tunnel-coupling | 153 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 95 |
| countries_distinct_count | 0 |
| institutions_distinct_count | 11 |
| citation_normalized_percentile.value | 0.79495668 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |