English

Circle fit optimization for resonator quality factor measurements: point redistribution for maximal accuracy

Quantum Physics 2026-02-09 v2 Mesoscale and Nanoscale Physics

Abstract

The control of material loss mechanisms is playing an increasingly important role for improving coherence times of superconducting quantum devices. Such material losses can be characterized through the measurement of planar superconducting resonators, which reflect losses through the resonance's quality factor QlQ_l. The resonance quality factor consists of both internal (material) losses as well as coupling losses when resonance photons escape back into the measurement circuit. The combined losses are then described as Ql1=Re{Qc1}+Qi1Q_l^{-1} = \mathrm{Re}\{Q_c^{-1}\} + Q_i^{-1}, where QcQ_c and QiQ_i reflect the coupling and internal quality factors of the resonator, respectively. To separate the relative contributions of QiQ_i and QcQ_c to QlQ_l, diameter-correcting circle fits use algebraic or geometric means to fit the resonance signal on the complex plane. However, such circle fits can produce varied results, so to address this issue, we use a combination of simulation and experiment to determine the reliability of a fitting algorithm across a wide range of quality factor values from QiQcQ_i\ll Q_c to QcQiQ_c\ll Q_i. In addition, we develop a novel measurement protocol that can not only reduce fitting errors by factors 2\gtrsim 2 but also mitigates the influence of the measurement background on the fit results. This technique can be generalized for other resonance systems beyond superconducting resonators.

Keywords

Cite

@article{arxiv.2301.06364,
  title  = {Circle fit optimization for resonator quality factor measurements: point redistribution for maximal accuracy},
  author = {Paul G. Baity and Connor Maclean and Valentino Seferai and Joe Bronstein and Yi Shu and Tania Hemakumara and Martin Weides},
  journal= {arXiv preprint arXiv:2301.06364},
  year   = {2026}
}

Comments

13 pages, 7 figures

R2 v1 2026-06-28T08:12:31.369Z