Systematic Characterization of Transmon Qubit Stability with Thermal Cycling

• URL: http://arxiv.org/abs/2602.07522v1
• Date: Sat, 07 Feb 2026 12:37:53 GMT
• Title: Systematic Characterization of Transmon Qubit Stability with Thermal Cycling
• Authors: Cong Li, Zhaohua Yang, Xinfang Zhang, Zhihao Wu, Shichuan Xue, Mingtang Deng,
• Abstract summary: We present a comprehensive longitudinal characterization of 27 frequency-tunable transmonable qubits spanning over one year across four thermal cycles.<n>Our results establish a distinct hierarchy of stability for superconducting hardware.
• Score: 16.354603560586245
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: The temporal stability and reproducibility of qubit parameters are critical for the long-term operation and maintenance of superconducting quantum processors. In this work, we present a comprehensive longitudinal characterization of 27 frequency-tunable transmon qubits spanning over one year across four thermal cycles. Our results establish a distinct hierarchy of stability for superconducting hardware. We find that the intrinsic device parameters determining the qubit frequency and the baseline energy relaxation times ($T_1$) exhibit high robustness against thermal stress, characterized by frequency deviations typically confined within 0.5\% and non-degraded coherence baselines. In stark contrast, the environmental variables, specifically the background magnetic flux offsets and the microscopic landscape of two-level system (TLS) defects, undergo a significant stochastic reconfiguration after each cycle. By employing frequency-dependent relaxation spectroscopy and a quantitative metric, the $T_1$ Spectral Topography Fidelity, we demonstrate that thermal cycling acts as a ``hard reset'' for the local defect environment. This process introduces a level of spectral randomization equivalent to thousands of hours of continuous low-temperature evolution. These findings confirm that while the fabrication quality is preserved, the specific noise realization is statistically distinct for each thermal cycle, necessitating automated recalibration strategies for large-scale quantum systems.

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