Automated in situ optimization and disorder mitigation in a quantum device

作     者：Benestad, Jacob Rasmussen, Torbjørn Brovang, Bertram Krause, Oswin Fallahi, Saeed Gardner, Geoffrey C. Manfra, Michael J. Marcus, Charles M. Danon, Jeroen Kuemmeth, Ferdinand Chatterjee, Anasua van Nieuwenburg, Evert 

作者机构：Center for Quantum Spintronics Department of Physics Norwegian University of Science and Technology TrondheimNO-7491 Norway Center for Quantum Devices Niels Bohr Institute University of Copenhagen Copenhagen2100 Denmark QuTech and Kavli Institute of Nanoscience Delft University of Technology Delft2600 GA Netherlands Department of Computer Science University of Copenhagen Copenhagen2100 Denmark Department of Physics and Astronomy Purdue University West LafayetteIN47907 United States Birck Nanotechnology Center Purdue University West LafayetteIN47907 United States Elmore Family School of Electrical and Computer Engineering Purdue University West LafayetteIN47907 United States School of Materials Engineering Purdue University West LafayetteIN47907 United States Institute of Experimental and Applied Physics University of Regensburg Regensburg93040 Germany Lorentz Institute Leiden Institute of Advanced Computer Science Leiden University P.O. Box 9506 Leiden2300 RA Netherlands 

出 版 物：《arXiv》 (arXiv)

年 卷 期：2024年

核心收录：

主　　题：Quantum computers 

摘      要：We investigate automated in situ optimization of the potential landscape in a quantum point contact device, using a 3 × 3 gate array patterned atop the constriction. Optimization is performed using the covariance matrix adaptation evolutionary strategy, for which we introduce a metric for how step-like the conductance is as the channel becomes constricted. We first perform the optimization of the gate voltages in a tight-binding simulation and show how such in situ tuning can be used to mitigate a random disorder potential. The optimization is then performed in a physical device in experiment, where we also observe a marked improvement in the quantization of the conductance resulting from the optimization procedure. © 2024, CC BY.