论文标题
量子傅里叶变换以进行量子传感
Quantum Fourier transform for quantum sensing
论文作者
论文摘要
量子傅立叶变换（$ QFT $）是大量量子算法的关键基础。 尽管有证明的效率，但仅报告了少量原则示威证明。 在这里，我们利用$ QFT $来增强量子传感器的性能。 我们在由氮胶菌（NV）中心电子旋转和三个核自旋组成的混合量子寄存器中实现$ QFT $算法。 $ QFT $在核自旋上运行，并用于处理传感器-NV电子旋转信号。 我们展示了Qut $ $ QFT $，用于量子（旋转）和经典信号（射频（RF）），而Heisenberg接近有限的精度缩放。 我们进一步显示了$ QFT $的应用，以消除两个不同目标核自旋的核磁共振（NMR）信号。 我们的结果标志着复杂的量子算法在传感中的应用，这对于高动态范围量子传感和纳米级NMR光谱实验特别感兴趣。
The Quantum Fourier Transformation ($QFT$) is a key building block for a whole wealth of quantum algorithms. Despite its proven efficiency, only a few proof-of-principle demonstrations have been reported. Here we utilize $QFT$ to enhance the performance of a quantum sensor. We implement the $QFT$ algorithm in a hybrid quantum register consisting of a nitrogen-vacancy (NV) center electron spin and three nuclear spins. The $QFT$ runs on the nuclear spins and serves to process the sensor - NV electron spin signal. We demonstrate $QFT$ for quantum (spins) and classical signals (radio frequency (RF) ) with near Heisenberg limited precision scaling. We further show the application of $QFT$ for demultiplexing the nuclear magnetic resonance (NMR) signal of two distinct target nuclear spins. Our results mark the application of a complex quantum algorithm in sensing which is of particular interest for high dynamic range quantum sensing and nanoscale NMR spectroscopy experiments.
