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Research Progress of Reverse Monte Carlo and Its Application in Josephson Junction Barrier Layer
Junling Qiu*, Huihui Sun, Shuya Wang
State Key Laboratory of Mathematical Engineering and Advanced Computing, Zhengzhou, 450001, China
* Corresponding Author: Junling Qiu. Email:
Computer Modeling in Engineering & Sciences 2023, 137(3), 2077-2109. https://doi.org/10.32604/cmes.2023.027353
Received 26 October 2022; Accepted 10 March 2023; Issue published 03 August 2023
Abstract
As indispensable components of superconducting circuit-based quantum computers, Josephson junctions determine how well superconducting qubits perform. Reverse Monte Carlo (RMC) can be used to recreate Josephson
junction’s atomic structure based on experimental data, and the impact of the structure on junctions’ properties
can be investigated by combining different analysis techniques. In order to build a physical model of the atomic
structure and then analyze the factors that affect its performance, this paper briefly reviews the development
and evolution of the RMC algorithm. It also summarizes the modeling process and structural feature analysis of
the Josephson junction in combination with different feature extraction techniques for electrical characterization
devices. Additionally, the obstacles and potential directions of Josephson junction modeling, which serves as the
theoretical foundation for the production of superconducting quantum devices at the atomic level, are discussed.
Keywords
Cite This Article
APA Style
Qiu, J., Sun, H., Wang, S. (2023). Research progress of reverse monte carlo and its application in josephson junction barrier layer. Computer Modeling in Engineering & Sciences, 137(3), 2077-2109. https://doi.org/10.32604/cmes.2023.027353
Vancouver Style
Qiu J, Sun H, Wang S. Research progress of reverse monte carlo and its application in josephson junction barrier layer. Comput Model Eng Sci. 2023;137(3):2077-2109 https://doi.org/10.32604/cmes.2023.027353
IEEE Style
J. Qiu, H. Sun, and S. Wang "Research Progress of Reverse Monte Carlo and Its Application in Josephson Junction Barrier Layer," Comput. Model. Eng. Sci., vol. 137, no. 3, pp. 2077-2109. 2023. https://doi.org/10.32604/cmes.2023.027353