arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2004.01108quant-ph
收藏

超越弱测量AAV极限的弱值放大分析

Weak-value-amplification analysis beyond the AAV limit of weak measurements

Jianhua Ren, Lupei Qin, Wei Feng, Xin-Qi Li

AI总结:

本文将弱值测量分析扩展到AAV极限之外,通过非微扰计算揭示了信噪比随测量强度变化的非单调行为及其与标准测量的优劣关系,并给出了含技术噪声时的解析结果。

摘要:

Aharonov、Albert和Vaidman(AAV)提出的弱值(WV)测量在量子计量学领域引起了广泛关注。在本工作中,我们将分析扩展到AAV极限之外,并获得了若干主要结果。(i)我们得到了信噪比(SNR)的非微扰结果。与AAV的预测相反,我们发现当AAV弱值$A_w$变大时,即当$g|A_w|^2>>1$时(其中$g$为测量强度),SNR会渐近变差。(ii)随着$g$的增大(但仍较小),我们发现SNR与AAV极限下的结果相当,且两者都能达到——实际上前者可以略微超过——标准测量的SNR。然而,随着$g$的进一步增大,尽管后选择概率提高了,弱值技术将变得比标准测量效率更低。(iii)我们发现Fisher信息能够像SNR一样在定性上很好地刻画估计精度,但它们的差异会随着$g$的增大而变得更加显著。(iv)我们给出了存在技术噪声时SNR的解析表达式,并说明了虚弱值测量的特殊优势。SNR的非微扰结果揭示了一个有利的噪声强度范围,并允许进行最优确定。

英文摘要:

The weak-value (WV) measurement proposed by Aharonov, Albert and Vaidman (AAV) has attracted a great deal of interest in connection with quantum metrology. In this work, we extend the analysis beyond the AAV limit and obtain a few main results. (i) We obtain non-perturbative result for the signal-to-noise ratio (SNR). In contrast to the AAV's prediction, we find that the SNR asymptotically gets worse when the AAV's WV $A_w$ becomes large, i.e., in the case $g|A_w|^2>>1$, where $g$ is the measurement strength. (ii) With the increase of $g$ (but also small), we find that the SNR is comparable to the result under the AAV limit, while both can reach -- actually the former can slightly exceed -- the SNR of the standard measurement. However, along a further increase of $g$, the WV technique will become less efficient than the standard measurement, despite that the postselection probability is increased. (iii) We find that the Fisher information can characterize the estimate precision qualitatively well as the SNR, yet their difference will become more prominent with the increase of $g$. (iv) We carry out analytic expressions of the SNR in the presence of technical noises and illustrate the particular advantage of the imaginary WV measurement. The non-perturbative result of the SNR manifests a favorable range of the noise strength and allows an optimal determination.

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。

↑