Automated in situ optimization and disorder mitigation in a quantum device
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arXiv
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| Main Authors: | , , , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866910002313166848 |
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| author | Benestad, Jacob Rasmussen, Torbjørn Brovang, Bertram Krause, Oswin Fallahi, Saeed Gardner, Geoffrey C. Manfra, Michael J. Marcus, Charles M. Danon, Jeroen Kuemmeth, Ferdinand Chatterjee, Anasua van Nieuwenburg, Evert |
| author_facet | Benestad, Jacob Rasmussen, Torbjørn Brovang, Bertram Krause, Oswin Fallahi, Saeed Gardner, Geoffrey C. Manfra, Michael J. Marcus, Charles M. Danon, Jeroen Kuemmeth, Ferdinand Chatterjee, Anasua van Nieuwenburg, Evert |
| contents | We investigate automated in situ optimization of the potential landscape in a quantum point contact device, using a $3 \times 3$ gate array patterned atop the constriction. Optimization is performed using the covariance matrix adaptation evolutionary strategy, for which we introduce a metric for how "step-like" the conductance is as the channel becomes constricted. We first perform the optimization of the gate voltages in a tight-binding simulation and show how such in situ tuning can be used to mitigate a random disorder potential. The optimization is then performed in a physical device in experiment, where we also observe a marked improvement in the quantization of the conductance resulting from the optimization procedure. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2412_04997 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Automated in situ optimization and disorder mitigation in a quantum device Benestad, Jacob Rasmussen, Torbjørn Brovang, Bertram Krause, Oswin Fallahi, Saeed Gardner, Geoffrey C. Manfra, Michael J. Marcus, Charles M. Danon, Jeroen Kuemmeth, Ferdinand Chatterjee, Anasua van Nieuwenburg, Evert Mesoscale and Nanoscale Physics We investigate automated in situ optimization of the potential landscape in a quantum point contact device, using a $3 \times 3$ gate array patterned atop the constriction. Optimization is performed using the covariance matrix adaptation evolutionary strategy, for which we introduce a metric for how "step-like" the conductance is as the channel becomes constricted. We first perform the optimization of the gate voltages in a tight-binding simulation and show how such in situ tuning can be used to mitigate a random disorder potential. The optimization is then performed in a physical device in experiment, where we also observe a marked improvement in the quantization of the conductance resulting from the optimization procedure. |
| title | Automated in situ optimization and disorder mitigation in a quantum device |
| topic | Mesoscale and Nanoscale Physics |
| url | https://arxiv.org/abs/2412.04997 |