Deep Learning Aided SRF Cavity Optimization for Quantum Computing
Jovan Marković, Dog̃a Murat Kürkçüog̃lu · 2023
learning architectures via multilayer perceptron to simultaneously model radiation measurements at multiple detectors in response to arbitrary gradient distributions. These models are trained on collected data and could be used to minimize the radiation production through gradient redistribution. This work builds on previous efforts in developing machine learning (ML) models, and is able to produce similar model performance as our previous ML model without requiring knowledge of the field emission onset for each cavity.