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Spin squeezing of 10(11) atoms by prediction and retrodiction measurements 期刊论文
NATURE, 2020, 581 (7807) : 159-+
作者:  Lan, Jun;  Ge, Jiwan;  Yu, Jinfang;  Shan, Sisi;  Zhou, Huan;  Fan, Shilong;  Zhang, Qi;  Shi, Xuanling;  Wang, Qisheng;  Zhang, Linqi;  Wang, Xinquan
收藏  |  浏览/下载:7/0  |  提交时间:2020/07/03

The measurement sensitivity of quantum probes using N uncorrelated particles is restricted by the standard quantum limit(1), which is proportional to 1/root N. This limit, however, can be overcome by exploiting quantum entangled states, such as spin-squeezed states(2). Here we report the measurement-based generation of a quantum state that exceeds the standard quantum limit for probing the collective spin of 10(11) rubidium atoms contained in a macroscopic vapour cell. The state is prepared and verified by sequences of stroboscopic quantum non-demolition (QND) measurements. We then apply the theory of past quantum states(3,4) to obtain spin state information from the outcomes of both earlier and later QND measurements. Rather than establishing a physically squeezed state in the laboratory, the past quantum state represents the combined system information from these prediction and retrodiction measurements. This information is equivalent to a noise reduction of 5.6 decibels and a metrologically relevant squeezing of 4.5 decibels relative to the coherent spin state. The past quantum state yields tighter constraints on the spin component than those obtained by conventional QND measurements. Our measurement uses 1,000 times more atoms than previous squeezing experiments(5-10), with a corresponding angular variance of the squeezed collective spin of 4.6 x 10(-13) radians squared. Although this work is rooted in the foundational theory of quantum measurements, it may find practical use in quantum metrology and quantum parameter estimation, as we demonstrate by applying our protocol to quantum enhanced atomic magnetometry.


  
Sensitivity determined simultaneous estimation of multiple parameters in coupled models: part I-based on single model component sensitivities 期刊论文
CLIMATE DYNAMICS, 2019, 53: 5349-5373
作者:  Zhao, Yuxin;  Deng, Xiong;  Zhang, Shaoqing;  Liu, Zhengyu;  Liu, Chang
收藏  |  浏览/下载:6/0  |  提交时间:2019/11/27
Data assimilation  Coupled parameter estimation  Simultaneous estimation of multiple parameters  Single model component sensitivities  
Using the normality assumption to calculate probability-based standardized drought indices: selection criteria with emphases on typical events 期刊论文
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2018, 38: E418-E436
作者:  Blain, Gabriel Constantino;  de Avila, Ana Maria H.;  Pereira, Vania Rosa
收藏  |  浏览/下载:6/0  |  提交时间:2019/04/09
drought  standardized precipitation index  standardized precipitation evapotranspiration index  trade-off  parameter estimation