论文标题
通过相关的Ramsey测量值的低频信号检测
Low frequency signal detection via correlated Ramsey measurements
论文作者
论文摘要
光谱的低频区域是量子探针的具有挑战性的机制。我们支持这样的想法,即在这种制度中,执行拉姆齐测量值仔细控制了启动每个测量的时间是一种出色的信号检测策略。 We use the Fisher information to demonstrate a high quality performance in the low frequency regime, compared to more elaborated measurement sequences, and to optimise the correlated Ramsey sequence according to any given experimental parameters, showing that correlated Ramsey rivals with state-of-the-art protocols, and can even outperform commonly employed sequences such as dynamical decoupling in the detection of low frequency signals.与用于振荡信号的典型量子检测方案相反,这些信号需要调整脉冲之间的时间分离以匹配目标信号的半个周期,因此看到它们的范围仅限于探测器的特征性偏置时间短的信号,或者对目标的特征性偏置时间短,或者其目标主要是静态信号的静态信号,并以静态状态的序列序列序列序列序列序列序列序列序列,并将其序列序列序列序列序列序列序列序列序列序列序列序列序列序列序列序列序列序列序列序列序列序列序列序列序列序列序列序列序列序列序列,并将其序列序列序列序列序列相关。信号,无论其频率如何,至关重要的是允许在后处理中将测量值相关联,从而导致有效的光谱重建。
The low frequency region of the spectrum is a challenging regime for quantum probes. We support the idea that, in this regime, performing Ramsey measurements carefully controlling the time at which each measurement is initiated is an excellent signal detection strategy. We use the Fisher information to demonstrate a high quality performance in the low frequency regime, compared to more elaborated measurement sequences, and to optimise the correlated Ramsey sequence according to any given experimental parameters, showing that correlated Ramsey rivals with state-of-the-art protocols, and can even outperform commonly employed sequences such as dynamical decoupling in the detection of low frequency signals. Contrary to typical quantum detection protocols for oscillating signals, which require adjusting the time separation between pulses to match the half period of the target signal, and consequently see their scope limited to signals whose period is shorter than the characteristic decoherence time of the probe, or to those protocols whose target is primarily static signals, the time-tagged correlated Ramsey sequence simultaneously tracks the amplitude and the phase information of the target signal, regardless of its frequency, which crucially permits correlating measurements in post-processing, leading to efficient spectral reconstruction.