Year: 2025
Type: preprint
Abstract: 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.
Source: arXiv (Cornell University)
Authors: Tomonaga, A., Mukai, H., Mizuno, K., Tsai, J. S.
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6979266287
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