The extraction of transition frequencies from a spectrum has conventionally relied on empirical methods, and particularly in complex systems, it is a time-consuming and cumbersome process. To address this challenge, we establish a semi-automated efficient and precise spectrum analysis method. It first employs image processing methods to extract transition frequencies, subsequently estimating the Hamiltonians of a superconducting quantum circuit containing multiple Josephson junctions. In addition, we determine the suitable range of approximations in simulation methods, evaluating the physical reliability of the analysis.
@article{arxiv.2503.10202,
title = {Efficient spectrum analysis for multi-junction superconducting circuit},
author = {A. Tomonaga and H. Mukai and K. Mizuno and J. S. Tsai},
journal= {arXiv preprint arXiv:2503.10202},
year = {2025}
}
Comments
All data generated or analyzed during this study, as well as the scripts used to produce the figures, are publicly available at https://github.com/AkiyoshiTomonaga/scfitpy.git