Speaker
Jike Wang
(Wuhan University)
Description
In recent years, we have proposed several novel machine learning algorithms and applied them to the field of accelerator physics (including lattice design, high-frequency cavity optimization, linear accelerator design, etc.), achieving promising results and publishing a series of SCI papers. We also pioneered the application of quantum machine learning in accelerator physics, demonstrating its significant potential in this field. The work was published in a Q1 SCI journal. This talk will present the corresponding results.
Primary author
Jike Wang
(Wuhan University)
