傅立叶变换噪声光谱

IF 6.6 1区 物理与天体物理 Q1 PHYSICS, APPLIED npj Quantum Information Pub Date : 2024-05-17 DOI:10.1038/s41534-024-00841-w
Arian Vezvaee, Nanako Shitara, Shuo Sun, Andrés Montoya-Castillo
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引用次数: 0

摘要

对导致量子比特退相干的噪声环境进行频谱表征,对于开发稳健的量子技术至关重要。虽然动态解耦是表征噪声光谱最成功的方法之一,但它需要应用大量的π脉冲序列,从而增加了方法的复杂性和成本。在这里,我们介绍一种噪声光谱分析方法,它只利用自由感应衰减或自旋回波测量的傅立叶变换,因此无需应用大量 π 脉冲。我们的研究表明,我们的方法能在各种不同环境下(包括 1/f 型噪声)忠实地恢复正确的噪声谱,其性能优于之前的动态解耦方案,同时显著降低了实验开销。我们还讨论了我们建议的实验可行性,并证明了它在存在统计测量误差时的鲁棒性。我们的方法适用于各种量子平台,为量子设备更精确的光谱表征提供了更简单的途径,从而为量身定制的退相干缓解提供了可能性。
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Fourier transform noise spectroscopy

Spectral characterization of noise environments that lead to the decoherence of qubits is critical to developing robust quantum technologies. While dynamical decoupling offers one of the most successful approaches to characterize noise spectra, it necessitates applying large sequences of π pulses that increase the complexity and cost of the method. Here, we introduce a noise spectroscopy method that utilizes only the Fourier transform of free induction decay or spin echo measurements, thus removing the need for the application many π pulses. We show that our method faithfully recovers the correct noise spectra for a variety of different environments (including 1/f-type noise) and outperforms previous dynamical decoupling schemes while significantly reducing their experimental overhead. We also discuss the experimental feasibility of our proposal and demonstrate its robustness in the presence of statistical measurement error. Our method is applicable to a wide range of quantum platforms and provides a simpler path toward a more accurate spectral characterization of quantum devices, thus offering possibilities for tailored decoherence mitigation.

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来源期刊
npj Quantum Information
npj Quantum Information Computer Science-Computer Science (miscellaneous)
CiteScore
13.70
自引率
3.90%
发文量
130
审稿时长
29 weeks
期刊介绍: The scope of npj Quantum Information spans across all relevant disciplines, fields, approaches and levels and so considers outstanding work ranging from fundamental research to applications and technologies.
期刊最新文献
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