弱测量
物理
噪音(视频)
加性高斯白噪声
统计物理学
高斯噪声
高斯分布
后选择
计算物理学
光学
统计
白噪声
计算机科学
算法
量子力学
数学
量子纠缠
量子
人工智能
图像(数学)
作者
Jing-Hui Huang,Xiangyun Hu,Adetunmise C. Dada,Jeff S. Lundeen,Kyle M. Jordan,Huan Chen,Jianqi An
出处
期刊:Physical review
[American Physical Society]
日期:2022-11-03
卷期号:106 (5)
被引量:5
标识
DOI:10.1103/physreva.106.053704
摘要
By choosing more orthogonality between preselection and postselection states, one can significantly improve the sensitivity in general optical quantum metrology based on the weak-value amplification (WVA) approach. However, increasing the orthogonality decreases the probability of detecting photons and makes the weak measurement difficult, especially when the weak measurement is disturbed by strong noise and the pointer is drowned in noise with a negative-decibel signal-to-noise ratio (SNR). In this article we introduce and numerically evaluate a modified weak-measurement protocol with a temporal pointer, namely, the autocorrelative weak-value amplification (AWVA) approach. Specifically, a small longitudinal time delay (tiny phase shift) $\ensuremath{\tau}$ of a Gaussian pulse is measured by implementing two simultaneous autocorrelative weak measurements under Gaussian white noise with different SNRs. The small quantities $\ensuremath{\tau}$ are obtained by measuring the autocorrelation coefficient of the pulses instead of fitting the shift of the mean value of the probe in the standard WVA technique. Simulation results show that the AWVA approach outperforms the standard WVA technique in the time domain with smaller statistical errors, remarkably increasing the precision of weak measurement under a strong noise background.
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