Bulletin of the American Physical Society
2024 APS March Meeting
Monday–Friday, March 4–8, 2024; Minneapolis & Virtual
Session W46: Silicon Qubits IV - Characterization and Modeling
3:00 PM–5:48 PM,
Thursday, March 7, 2024
Room: 200AB
Sponsoring
Unit:
DQI
Chair: Felix Beaudoin, Nanoacademic Technologies inc
Abstract: W46.00006 : Tuning and operation of quantum dots using FPGA tools tailored for spin qubits*
4:00 PM–4:12 PM
Presenter:
Marc-Antoine Roux
(Universite de Sherbrooke)
Authors:
Marc-Antoine Roux
(Universite de Sherbrooke)
Joffrey Rivard
(Université de Sherbrooke)
Claude Rohrbacher
(Universite de Sherbrooke)
Alexis Morel
(Université de Sherbrooke)
Dominic Leclerc
(Université de Sherbrooke)
El Bachir Ndiaye
(Université de Sherbrooke)
Larissa Njejimana
(Université de Sherbrooke)
Francesco Tafuri
(Keysight Technologies)
Brendan Bono
(Keysight Technologies)
Philip Krantz
(Keysight Technologies)
Roy Li
(IMEC)
Clement Godfrin
(IMEC)
Stefan Kubicek
(IMEC)
Danny Wan
(IMEC)
Kristiaan De Greve
(IMEC)
Marc-André Tétrault
(Université de Sherbrooke)
Eva Dupont-Ferrier
(Université de Sherbrooke)
Michel Pioro-Ladrière
(Universite de Sherbrooke)
Here, we offloaded parts of the tuning procedure from the lab computer to the instrument itself using the on-board field-programmable gate arrays (FPGAs) of Keysight’s Quantum Engineering Toolkit (QET).
The waveforms for a stability diagram measurement are generated on-the-fly without communication with the lab computer during the measurement. This allows video-mode measurements of small voltage regions for real time fine-tuning[ED1] . Furthermore, virtual gates can also be used by sending only the coefficient matrix since the compensation calculations are done in less than 100 ns in the FPGAs. With this approach, the tuning of a CMOS quantum dot has been done and compared to a traditional tuning procedure that does not use FPGAs. Moving the control logic of an experiment closer to the instruments and sample [ED2] allow for faster feedback and potentially faster measurements. It also offers a new tool to implement more scalable tuning and control for spin qubits.
*This research was undertaken thanks in part to funding from the Canada First Research Excellence Fund, the NSERC-CREATE program QSciTech and from Keysight Technologies.
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