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Systematic Characterization of Transmon Qubit Stability with Thermal Cycling.
Cong Li1, Zhaohua Yang1, Xinfang Zhang1
1College of Computer Science and Technology, National University of Defense Technology, Changsha 410073, China.
Entropy (Basel, Switzerland)
|March 28, 2026
Summary
Superconducting quantum processor qubits show stable intrinsic parameters but fluctuating environmental noise after thermal cycles. This necessitates automated recalibration for reliable long-term quantum computing.
Area of Science:
- Quantum Computing
- Superconducting Circuits
- Materials Science
Background:
- Qubit stability is crucial for quantum processors.
- Superconducting qubits are sensitive to environmental changes.
- Longitudinal studies are needed to understand qubit parameter drift.
Purpose of the Study:
- To characterize the long-term temporal stability and reproducibility of superconducting transmon qubit parameters.
- To investigate the impact of thermal cycling on qubit performance and environmental factors.
- To establish a hierarchy of stability for superconducting hardware components.
Main Methods:
- Longitudinal characterization of 27 frequency-tunable transmon qubits over one year.
- Analysis across four thermal cycles.
- Frequency-dependent relaxation spectroscopy and T1 Spectral Topography Fidelity metric.
Main Results:
- Intrinsic qubit parameters (frequency, T1) show high robustness against thermal stress (deviations <0.5%).
- Environmental variables (magnetic flux offsets, TLS defects) reconfigure stochastically after each thermal cycle.
- Thermal cycling acts as a 'hard reset' for the defect environment, causing spectral randomization.
Conclusions:
- Fabrication quality of superconducting qubits is preserved across thermal cycles.
- The specific noise realization is statistically distinct after each cycle.
- Automated recalibration strategies are essential for large-scale quantum systems.
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