论文标题
傅立叶变换噪声光谱
Fourier Transform Noise Spectroscopy
论文作者
论文摘要
噪声环境的光谱表征导致Qubits的逆转性对于开发强大的量子技术至关重要。虽然动态脱钩提供了表征噪声光谱的最成功的方法之一，但它需要应用大量$π$脉冲的大序列，以增加该方法的复杂性和成本。在这里，我们引入了一种噪声光谱法，该方法仅利用自由感应衰减或自旋回声测量的傅立叶变换，从而消除了对应用程序的需求。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 $ type噪声）的正确噪声光谱，并且优于先前的动态解耦方案，同时大大减少了他们的实验开销。我们还讨论了提案的实验性可行性，并在存在统计测量误差的情况下证明了其鲁棒性。我们的方法适用于广泛的量子平台，并为更准确的量子设备表征提供了更简单的途径，从而为量身定制的降压降低提供了可能性。
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.
