Compressed Optimization of Device Architectures for Semiconductor Quantum Devices
Abstract
Recent advances in nanotechnology have enabled researchers to manipulate small collections of quantum-mechanical objects with unprecedented accuracy. In semiconductor quantum-dot qubits, this manipulation requires controlling the dot orbital energies, the tunnel couplings, and the electron occupations. These properties all depend on the voltages placed on the metallic electrodes that define the device, the positions of which are fixed once the device is fabricated. While there has been much success with small numbers of dots, as the number of dots grows, it will be increasingly useful to control these systems with as few electrode voltage changes as possible. Here, we introduce a protocol, which we call the "compressed optimization of device architectures" (CODA), in order both to efficiently identify sparse sets of voltage changes that control quantum systems and to introduce a metric that can be used to compare device designs. As an example of the former, we apply this method to simulated devices with up to 100 quantum dots and show that CODA automatically tunes devices more efficiently than other common nonlinear optimizers. To demonstrate the latter, we determine the optimal lateral scale for a triple quantum dot, yielding a simulated device that can be tuned with small voltage changesmore »
- Authors:
-
- Univ. of Wisconsin, Madison, WI (United States)
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Microsoft Research, Redmond, WA (United States)
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Univ. of Wisconsin, Madison, WI (United States); Univ. of New South Wales, Sydney, NSW (Australia)
- Publication Date:
- Research Org.:
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Org.:
- USDOE National Nuclear Security Administration (NNSA)
- OSTI Identifier:
- 1497629
- Report Number(s):
- SAND2019-1977J
Journal ID: ISSN 2331-7019; PRAHB2; 672814
- Grant/Contract Number:
- AC04-94AL85000
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Physical Review Applied
- Additional Journal Information:
- Journal Volume: 11; Journal Issue: 2; Journal ID: ISSN 2331-7019
- Publisher:
- American Physical Society (APS)
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 71 CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS
Citation Formats
Frees, Adam, Gamble, John King, Ward, Daniel R., Blume-Kohout, Robin, Eriksson, M. A., Friesen, Mark, and Coppersmith, S. N. Compressed Optimization of Device Architectures for Semiconductor Quantum Devices. United States: N. p., 2019.
Web. doi:10.1103/PhysRevApplied.11.024063.
Frees, Adam, Gamble, John King, Ward, Daniel R., Blume-Kohout, Robin, Eriksson, M. A., Friesen, Mark, & Coppersmith, S. N. Compressed Optimization of Device Architectures for Semiconductor Quantum Devices. United States. https://doi.org/10.1103/PhysRevApplied.11.024063
Frees, Adam, Gamble, John King, Ward, Daniel R., Blume-Kohout, Robin, Eriksson, M. A., Friesen, Mark, and Coppersmith, S. N. Mon .
"Compressed Optimization of Device Architectures for Semiconductor Quantum Devices". United States. https://doi.org/10.1103/PhysRevApplied.11.024063. https://www.osti.gov/servlets/purl/1497629.
@article{osti_1497629,
title = {Compressed Optimization of Device Architectures for Semiconductor Quantum Devices},
author = {Frees, Adam and Gamble, John King and Ward, Daniel R. and Blume-Kohout, Robin and Eriksson, M. A. and Friesen, Mark and Coppersmith, S. N.},
abstractNote = {Recent advances in nanotechnology have enabled researchers to manipulate small collections of quantum-mechanical objects with unprecedented accuracy. In semiconductor quantum-dot qubits, this manipulation requires controlling the dot orbital energies, the tunnel couplings, and the electron occupations. These properties all depend on the voltages placed on the metallic electrodes that define the device, the positions of which are fixed once the device is fabricated. While there has been much success with small numbers of dots, as the number of dots grows, it will be increasingly useful to control these systems with as few electrode voltage changes as possible. Here, we introduce a protocol, which we call the "compressed optimization of device architectures" (CODA), in order both to efficiently identify sparse sets of voltage changes that control quantum systems and to introduce a metric that can be used to compare device designs. As an example of the former, we apply this method to simulated devices with up to 100 quantum dots and show that CODA automatically tunes devices more efficiently than other common nonlinear optimizers. To demonstrate the latter, we determine the optimal lateral scale for a triple quantum dot, yielding a simulated device that can be tuned with small voltage changes on a limited number of electrodes.},
doi = {10.1103/PhysRevApplied.11.024063},
journal = {Physical Review Applied},
number = 2,
volume = 11,
place = {United States},
year = {Mon Feb 25 00:00:00 EST 2019},
month = {Mon Feb 25 00:00:00 EST 2019}
}
Web of Science
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