@Article{cmes.2023.027353,
AUTHOR = {Junling Qiu, Huihui Sun, Shuya Wang},
TITLE = {Research Progress of Reverse Monte Carlo and Its Application in Josephson Junction Barrier Layer},
JOURNAL = {Computer Modeling in Engineering \& Sciences},
VOLUME = {137},
YEAR = {2023},
NUMBER = {3},
PAGES = {2077--2109},
URL = {http://www.techscience.com/CMES/v137n3/53731},
ISSN = {1526-1506},
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.},
DOI = {10.32604/cmes.2023.027353}
}