The effects of disorder in superconducting materials on qubit coherence

Abstract Introducing disorder in the superconducting materials has been considered promising to enhance the electromagnetic impedance and realize noise-resilient superconducting qubits. Despite a number of pioneering implementations, the understanding of the correlation between the material disorder...

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Main Authors: Ran Gao, Feng Wu, Hantao Sun, Jianjun Chen, Hao Deng, Xizheng Ma, Xiaohe Miao, Zhijun Song, Xin Wan, Fei Wang, Tian Xia, Make Ying, Chao Zhang, Yaoyun Shi, Hui-Hai Zhao, Chunqing Deng
Format: Article
Language:English
Published: Nature Portfolio 2025-04-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-025-58745-y
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Summary:Abstract Introducing disorder in the superconducting materials has been considered promising to enhance the electromagnetic impedance and realize noise-resilient superconducting qubits. Despite a number of pioneering implementations, the understanding of the correlation between the material disorder and the qubit coherence is still developing. Here, we demonstrate a systematic characterization of fluxonium qubits with the superinductors made by spinodal titanium-aluminum-nitride with varied disorder. From qubit noise spectroscopy, the flux noise and the dielectric loss are extracted as a measure of the coherence properties. Our results reveal that the 1/f  α flux noise dominates the qubit decoherence around the flux-frustration point, strongly correlated with the material disorder; while the dielectric loss are largely similar under a wide range of material properties. From the flux-noise amplitudes, the areal density (σ) of the phenomenological spin defects and material disorder are found to be approximately correlated by $$\sigma \propto {\rho }_{xx}^{3}$$ σ ∝ ρ x x 3 , or effectively $${({k}_{F}l)}^{-3}$$ ( k F l ) − 3 . This work has provided new insights on the origin of decoherence channels beyond surface defects and within the superconductors, and could serve as a useful guideline for material design and optimization.
ISSN:2041-1723