Bulletin of the American Physical Society
2024 APS March Meeting
Monday–Friday, March 4–8, 2024; Minneapolis & Virtual
Session B18: AI, ML, and Data Science for Quantum Systems
11:30 AM–2:18 PM,
Monday, March 4, 2024
Room: M100I
Sponsoring
Unit:
GDS
Chair: Paul Kairys, Argonne National Laboratory
Abstract: B18.00007 : Automated Tune-Up of Poor Man's Majorana's In a two-Site Kitaev Chain Using a Neural Network*
12:42 PM–12:54 PM
Presenter:
David van Driel
(Delft University of Technology)
Authors:
David van Driel
(Delft University of Technology)
Rouven A Koch
(Aalto University)
Bas Ten Haaf
(Delft University of Technology)
Vincent Sietses
(Delft University of Technology)
Chunxiao Liu
(Delft University of Technology)
Michael Wimmer
(Delft University of Technology)
Eliska Greplova
(Delft University of Technology)
Srijit Goswami
(Delft University of Technology)
Jose Lado
(Aalto University)
Leo P Kouwenhoven
(Delft University of Technology)
Previous work has shown that a generative machine learning model can predict the ratio of CAR and ECT rates based on charge stability diagrams of interacting quantum dots in a Kitaev chain [5]. In this talk, we show that the predictions of a neural network, retrained on a small experimental data set, can be used to set gate voltages, which tune a two-site Kitaev chain into the sweet spot in realtime. We show that the algorithm is able to recognize the sweet spot and find it. In addition, the predictions of the neural network match the experimentally found values accurately. This paves the way for the automated tune-up of longer Kitaev chains.
[1] Kitaev, A. Yu. "Unpaired Majorana fermions in quantum wires." Physics-uspekhi 44.10S (2001): 131.
[2] Sau, Jay D., and S. Das Sarma. "Realizing a robust practical Majorana chain in a quantum-dot-superconductor linear array." Nature communications 3.1 (2012): 964.
[3] Leijnse, Martin, and Karsten Flensberg. "Parity qubits and poor man's Majorana bound states in double quantum dots." Physical Review B 86.13 (2012): 134528.
[4] Dvir, Tom, et al. "Realization of a minimal Kitaev chain in coupled quantum dots." Nature 614.7948 (2023): 445-450.
[5] Koch, Rouven, et al. "Adversarial Hamiltonian learning of quantum dots in a minimal Kitaev chain." arXiv preprint arXiv:2304.10852 (2023).
*This work has been supported by the Dutch Organization for Scientific Research (NWO) and Microsoft Corporation Station Q.
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