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.

导致量子位退相干的噪声环境的光谱特征对于开发稳健的量子技术至关重要。虽然动态解耦提供了表征噪声频谱的最成功方法之一，但它需要应用大量π脉冲序列，从而增加了方法的复杂性和成本。在这里，我们介绍了一种噪声光谱方法，该方法仅利用自由感应衰减或自旋回波测量的傅立叶变换，从而无需应用许多π脉冲。我们表明，我们的方法忠实地恢复了各种不同环境（包括 1/ f型噪声）的正确噪声谱，并且优于以前的动态解耦方案，同时显着减少了实验开销。我们还讨论了我们建议的实验可行性，并证明了其在存在统计测量误差的情况下的稳健性。我们的方法适用于各种量子平台，并为更准确地表征量子器件的光谱特性提供了更简单的途径，从而为定制退相干缓解提供了可能性。