Computer-automated tuning procedures for semiconductor quantum dot arrays
Abstract
As with any quantum computing platform, semiconductor quantum dot devices require sophisticated hardware and controls for operation. The increasing complexity of quantum dot devices necessitates the advancement of automated control software and image recognition techniques for rapidly evaluating charge stability diagrams. We use an image analysis toolbox developed in Python to automate the calibration of virtual gates, a process that previously involved a large amount of user intervention. Moreover, we show that straightforward feedback protocols can be used to simultaneously tune multiple tunnel couplings in a triple quantum dot in a computer automated fashion. Finally, we adopt the use of a “tunnel coupling lever arm” to model the interdot barrier gate response and discuss how it can be used to more rapidly tune interdot tunnel couplings to the gigahertz values that are compatible with exchange gates.
- Authors:
-
[1]
- Princeton Univ., NJ (United States)
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Publication Date:
- Research Org.:
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC); USDOE National Nuclear Security Administration (NNSA); Gordon and Betty Moore Foundation; US Army Research Office (ARO)
- OSTI Identifier:
- 1667436
- Alternate Identifier(s):
- OSTI ID: 1560783
- Report Number(s):
- SAND-2020-9961J
Journal ID: ISSN 0003-6951; 690745; TRN: US2203674
- Grant/Contract Number:
- AC04-94AL85000; NA0003525; W911NF-15-1-0149; GBMF4535
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Applied Physics Letters
- Additional Journal Information:
- Journal Volume: 115; Journal Issue: 11; Journal ID: ISSN 0003-6951
- Publisher:
- American Institute of Physics (AIP)
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 71 CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS
Citation Formats
Mills, A. R., Feldman, M. M., Monical, C., Lewis, P. J., Larson, K. W., Mounce, A. M., and Petta, J. R. Computer-automated tuning procedures for semiconductor quantum dot arrays. United States: N. p., 2019.
Web. doi:10.1063/1.5121444.
Mills, A. R., Feldman, M. M., Monical, C., Lewis, P. J., Larson, K. W., Mounce, A. M., & Petta, J. R. Computer-automated tuning procedures for semiconductor quantum dot arrays. United States. https://doi.org/10.1063/1.5121444
Mills, A. R., Feldman, M. M., Monical, C., Lewis, P. J., Larson, K. W., Mounce, A. M., and Petta, J. R. Mon .
"Computer-automated tuning procedures for semiconductor quantum dot arrays". United States. https://doi.org/10.1063/1.5121444. https://www.osti.gov/servlets/purl/1667436.
@article{osti_1667436,
title = {Computer-automated tuning procedures for semiconductor quantum dot arrays},
author = {Mills, A. R. and Feldman, M. M. and Monical, C. and Lewis, P. J. and Larson, K. W. and Mounce, A. M. and Petta, J. R.},
abstractNote = {As with any quantum computing platform, semiconductor quantum dot devices require sophisticated hardware and controls for operation. The increasing complexity of quantum dot devices necessitates the advancement of automated control software and image recognition techniques for rapidly evaluating charge stability diagrams. We use an image analysis toolbox developed in Python to automate the calibration of virtual gates, a process that previously involved a large amount of user intervention. Moreover, we show that straightforward feedback protocols can be used to simultaneously tune multiple tunnel couplings in a triple quantum dot in a computer automated fashion. Finally, we adopt the use of a “tunnel coupling lever arm” to model the interdot barrier gate response and discuss how it can be used to more rapidly tune interdot tunnel couplings to the gigahertz values that are compatible with exchange gates.},
doi = {10.1063/1.5121444},
journal = {Applied Physics Letters},
number = 11,
volume = 115,
place = {United States},
year = {Mon Sep 09 00:00:00 EDT 2019},
month = {Mon Sep 09 00:00:00 EDT 2019}
}
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Cited by: 25 works
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Figures / Tables:
FIG. 1: (a) Scanning electron microscope image of the full 12-dot device. The leftmost unit cell, consisting of dots 1, 2, and 3 in the array and the charge sensor dot ̀S', is false-colored. (b) DQD charge stability diagram for dots 1 and 2 as measured in the sensor dotmore »
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Works referencing / citing this record:
Efficient Orthogonal Control of Tunnel Couplings in a Quantum Dot Array
journal, May 2020
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Effects of Interface Steps on the Valley Orbit coupling in a Si/SiGe quantum dot
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