Automated Charge Transition Detection in Quantum Dot Charge Stability Diagrams
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arXiv
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| Format: | Preprint |
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2025
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| _version_ | 1866912534526689280 |
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| author | Hader, Fabian Fuchs, Fabian Fleitmann, Sarah Havemann, Karin Scherer, Benedikt Vogelbruch, Jan Geck, Lotte van Waasen, Stefan |
| author_facet | Hader, Fabian Fuchs, Fabian Fleitmann, Sarah Havemann, Karin Scherer, Benedikt Vogelbruch, Jan Geck, Lotte van Waasen, Stefan |
| contents | Gate-defined semiconductor quantum dots require an appropriate number of electrons to function as qubits. The number of electrons is usually tuned by analyzing charge stability diagrams, in which charge transitions manifest as edges. Therefore, to fully automate qubit tuning, it is necessary to recognize these edges automatically and reliably. This paper investigates possible detection methods, describes their training with simulated data from the SimCATS framework, and performs a quantitative comparison with a future hardware implementation in mind. Furthermore, we investigated the quality of the optimized approaches on experimentally measured data from a GaAs and a SiGe qubit sample. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2508_09024 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Automated Charge Transition Detection in Quantum Dot Charge Stability Diagrams Hader, Fabian Fuchs, Fabian Fleitmann, Sarah Havemann, Karin Scherer, Benedikt Vogelbruch, Jan Geck, Lotte van Waasen, Stefan Mesoscale and Nanoscale Physics Quantum Physics Gate-defined semiconductor quantum dots require an appropriate number of electrons to function as qubits. The number of electrons is usually tuned by analyzing charge stability diagrams, in which charge transitions manifest as edges. Therefore, to fully automate qubit tuning, it is necessary to recognize these edges automatically and reliably. This paper investigates possible detection methods, describes their training with simulated data from the SimCATS framework, and performs a quantitative comparison with a future hardware implementation in mind. Furthermore, we investigated the quality of the optimized approaches on experimentally measured data from a GaAs and a SiGe qubit sample. |
| title | Automated Charge Transition Detection in Quantum Dot Charge Stability Diagrams |
| topic | Mesoscale and Nanoscale Physics Quantum Physics |
| url | https://arxiv.org/abs/2508.09024 |