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PreprintarXiv licencearXiv

Admittance extraction of quantum dot arrays for charge sensing

Abstract

This work demonstrates admittance extraction of quantum dot arrays using a rate equation frame- work matching experimental reflectometry measurements. Using a semiclassical rate equation, we consider a perturbation of the source/drain chemical potential to model reflectometry readout in a quantum dot array. This is a time-dependent extension of the rate equation which has been employed in literature for pumped arrays of quantum dots and capacitance extractions. Here we extend this to a double quantum dot for admittance extraction. The simulations are calibrated us- ing Fermi-Hubbard parameters extracted from experimental data, which it is then shown to closely approximate to.

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BibTeX
@misc{power2026admittance,
  title = {{Admittance extraction of quantum dot arrays for charge sensing}},
  author = {Conor Power and Mathieu Moras and Andrii Sokolov and Robert Bogdan Staszewski and Elena Blokhina},
  howpublished = {arXiv},
  year = {2026},
  month = oct,
  doi = {10.48550/arxiv.2610.16590},
  eprint = {2610.16590},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2610.16590},
}
RIS
TY  - UNPB
TI  - Admittance extraction of quantum dot arrays for charge sensing
AU  - Conor Power
AU  - Mathieu Moras
AU  - Andrii Sokolov
AU  - Robert Bogdan Staszewski
AU  - Elena Blokhina
PY  - 2026
DA  - 2026/10/12
PB  - arXiv
DO  - 10.48550/arxiv.2610.16590
UR  - https://arxiv.org/abs/2610.16590
AB  - This work demonstrates admittance extraction of quantum dot arrays using a rate equation frame- work matching experimental reflectometry measurements. Using a semiclassical rate equation, we consider a perturbation of the source/drain chemical potential to model reflectometry readout in a quantum dot array. This is a time-dependent extension of the rate equation which has been employed in literature for pumped arrays of quantum dots and capacitance extractions. Here we extend this to a double quantum dot for admittance extraction. The simulations are calibrated us- ing Fermi-Hubbard parameters extracted from experimental data, which it is then shown to closely approximate to.
ER  -