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arXiv 1907.09004quant-ph
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多用途感应相干超灵敏度测量

Versatile Super-Sensitive Metrology Using Induced Coherence

Nathaniel R. Miller, Sven Ramelow, William N. Plick

摘要:

我们从理论上分析了诱导相干(曼德尔型)干涉仪的相位灵敏度,包括的情况下,灵敏度是“提升”到明亮的输入政权与相干光播种。我们发现缩放达到低于散粒噪声限制,即使当播种的空间模式,不与样品相互作用-或当播种未检测到的模式。它是线性和非线性(Yurke型)干涉仪的混合,并且除了超灵敏度之外,通过“偏好”两个非线性的增益中的不平衡(其中第二增益在低值处是最佳的)以及作为第二非线性的增益的函数的灵敏度的非单调行为而与其他系统区分开。此外,该设置允许使用减去的强度测量,而不是直接(加性)或零差测量-一个显著的实际优势。具有用于相互作用和检测的不同光场的对象的明亮、超灵敏的相位估计是可能的,具有各种潜在的应用,特别是在样本可能对光敏感的情况下,或者在容易检测到的频域之外的频域中是最感兴趣的,或者当期望具有灵敏/精密检测器的亮光相位估计时。我们使用的一般压缩方面的分析,发现超灵敏度只发生在这种情况下-也就是说,效果是不存在的自发参数下转换近似,许多以前的分析和实验集中。

英文摘要:

We theoretically analyze the phase sensitivity of the Induced-Coherence (Mandel-Type) Interferometer, including the case where the sensitivity is "boosted" into the bright input regime with coherent-light seeding. We find scaling which reaches below the shot noise limit, even when seeding the spatial mode which does not interact with the sample - or when seeding the undetected mode. It is a hybrid of a linear and a non-linear (Yurke-Type) interferometer, and aside from the supersensitivity, is distinguished from other systems by "preferring" an imbalance in the gains of the two non-linearities (with the second gain being optimal at low values), and non-monotonic behavior of the sensitivity as a function of the gain of the second non-linearity. Furthermore, the setup allows use of subtracted intensity measurements, instead of direct (additive) or homodyne measurements - a significant practical advantage. Bright, super-sensitive phase estimation of an object with different light fields for interaction and detection is possible, with various potential applications, especially in cases where the sample may be sensitive to light, or is most interesting in frequency domains outside what is easily detected, or when desiring bright-light phase estimation with sensitive/delicate detectors. We use an analysis in terms of general squeezing and discover that super-sensitivity occurs only in this case - that is, the effect is not present with the spontaneous-parametric-down-conversion approximation, which many previous analyses and experiments have focused on.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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