论文标题
量子振荡器噪声光谱通过位移猫状态
Quantum oscillator noise spectroscopy via displaced cat states
论文作者
论文摘要
量子谐波振荡器对于许多现代量子技术都是核心。我们介绍了一种方法，通过将振荡器模式的频率频谱耦合到具有连续驱动的Qubit-State依赖性位移的量子。我们使用一系列不同的驱动相和振幅调制模式与基于凸优化的数据融合例程一起重建噪声谱。我们将技术应用于单个被困离子的动作频率中固有噪声的识别，对在频谱范围内的次级Hz水平波动的敏感性从准DC到50 kHz。
Quantum harmonic oscillators are central to many modern quantum technologies. We introduce a method to determine the frequency noise spectrum of oscillator modes through coupling them to a qubit with continuously driven qubit-state-dependent displacements. We reconstruct the noise spectrum using a series of different drive phase and amplitude modulation patterns in conjunction with a data-fusion routine based on convex optimization. We apply the technique to the identification of intrinsic noise in the motional frequency of a single trapped ion with sensitivity to fluctuations at the sub-Hz level in a spectral range from quasi-DC up to 50 kHz.
