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arXiv · 2310.06618

Mitigating crosstalk and residual coupling errors in superconducting quantum processors using many-body localization

Peng Qian·Hong-Ze Xu·Peng Zhao·Xiao Li·Dong E. Liu
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Abstract

Addressing the paramount need for precise calibration in superconducting quantum qubits, especially in frequency control, this study introduces a novel calibration scheme harnessing the principles of Many-Body Localization (MBL). While existing strategies, such as Google's snake algorithm, have targeted optimization of qubit frequency parameters, our MBL-based methodology emerges as a stalwart against noise, notably crosstalk and residual coupling errors, thereby significantly enhancing quantum processor fidelity and stability without necessitating extensive optimization computation. Not only does this approach provide a marked improvement in performance, particularly where specific residue couplings are present, but it also presents a more resource-efficient and cost-effective calibration process. The research delineated herein affords fresh insights into advanced calibration strategies and propels forward the domain of superconducting quantum computation by offering a robust framework for future explorations in minimizing error and optimizing qubit performance.

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Peng Qian, Hong-Ze Xu, Peng Zhao, Xiao Li, Dong E. Liu. 2023-10-10. Mitigating crosstalk and residual coupling errors in superconducting quantum processors using many-body localization. https://arxiv.org/abs/2310.06618

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