Learning Coulomb diamonds in large quantum dot arrays

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

Learning Coulomb diamonds in large quantum dot arrays. / Krause, Oswin; Chatterjee, Anasua; Kuemmeth, Ferdinand; van Nieuwenburg, Evert.

In: SciPost Physics, Vol. 13, No. 4, 084, 2022.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Krause, O, Chatterjee, A, Kuemmeth, F & van Nieuwenburg, E 2022, 'Learning Coulomb diamonds in large quantum dot arrays', SciPost Physics, vol. 13, no. 4, 084. https://doi.org/10.21468/SciPostPhys.13.4.084

APA

Krause, O., Chatterjee, A., Kuemmeth, F., & van Nieuwenburg, E. (2022). Learning Coulomb diamonds in large quantum dot arrays. SciPost Physics, 13(4), [084]. https://doi.org/10.21468/SciPostPhys.13.4.084

Vancouver

Krause O, Chatterjee A, Kuemmeth F, van Nieuwenburg E. Learning Coulomb diamonds in large quantum dot arrays. SciPost Physics. 2022;13(4). 084. https://doi.org/10.21468/SciPostPhys.13.4.084

Author

Krause, Oswin ; Chatterjee, Anasua ; Kuemmeth, Ferdinand ; van Nieuwenburg, Evert. / Learning Coulomb diamonds in large quantum dot arrays. In: SciPost Physics. 2022 ; Vol. 13, No. 4.

Bibtex

@article{65a273591a8248808a2b91294bba6089,
title = "Learning Coulomb diamonds in large quantum dot arrays",
abstract = "We introduce an algorithm that is able to find the facets of Coulomb diamonds in quantum dot arrays. We simulate these arrays using the constant-interaction model, and rely only on one-dimensional raster scans (rays) to learn a model of the device using regularized maximum likelihood estimation. This allows us to determine, for a given charge state of the device, which transitions exist and what the compensated gate voltages for these are. For smaller devices the simulator can also be used to compute the exact boundaries of the Coulomb diamonds, which we use to assess that our algorithm correctly finds the vast majority of transitions with high precision.",
author = "Oswin Krause and Anasua Chatterjee and Ferdinand Kuemmeth and {van Nieuwenburg}, Evert",
year = "2022",
doi = "10.21468/SciPostPhys.13.4.084",
language = "English",
volume = "13",
journal = "SciPost Physics",
issn = "2542-4653",
publisher = "SCIPOST FOUNDATION",
number = "4",

}

RIS

TY - JOUR

T1 - Learning Coulomb diamonds in large quantum dot arrays

AU - Krause, Oswin

AU - Chatterjee, Anasua

AU - Kuemmeth, Ferdinand

AU - van Nieuwenburg, Evert

PY - 2022

Y1 - 2022

N2 - We introduce an algorithm that is able to find the facets of Coulomb diamonds in quantum dot arrays. We simulate these arrays using the constant-interaction model, and rely only on one-dimensional raster scans (rays) to learn a model of the device using regularized maximum likelihood estimation. This allows us to determine, for a given charge state of the device, which transitions exist and what the compensated gate voltages for these are. For smaller devices the simulator can also be used to compute the exact boundaries of the Coulomb diamonds, which we use to assess that our algorithm correctly finds the vast majority of transitions with high precision.

AB - We introduce an algorithm that is able to find the facets of Coulomb diamonds in quantum dot arrays. We simulate these arrays using the constant-interaction model, and rely only on one-dimensional raster scans (rays) to learn a model of the device using regularized maximum likelihood estimation. This allows us to determine, for a given charge state of the device, which transitions exist and what the compensated gate voltages for these are. For smaller devices the simulator can also be used to compute the exact boundaries of the Coulomb diamonds, which we use to assess that our algorithm correctly finds the vast majority of transitions with high precision.

U2 - 10.21468/SciPostPhys.13.4.084

DO - 10.21468/SciPostPhys.13.4.084

M3 - Journal article

VL - 13

JO - SciPost Physics

JF - SciPost Physics

SN - 2542-4653

IS - 4

M1 - 084

ER -

ID: 324694466