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Beating standard quantum limit via two-axis magnetic susceptibility measurement
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作者 Zheng-An Wang Yi Peng +1 位作者 Dapeng Yu Heng Fan 《Chinese Physics B》 SCIE EI CAS CSCD 2022年第4期170-174,共5页
We report a metrology scheme which measures the magnetic susceptibility of an atomic spin ensemble along the x and z directions and produces parameter estimation with precision beating the standard quantum limit.The a... We report a metrology scheme which measures the magnetic susceptibility of an atomic spin ensemble along the x and z directions and produces parameter estimation with precision beating the standard quantum limit.The atomic ensemble is initialized via one-axis spin squeezing with optimized squeezing time and parameterΦ(to be estimated)assumed as uniformly distributed between 0 and 2πwhile fixed in each estimation.One estimation ofΦcan be produced with every two magnetic susceptibility data measured along the two axes respectively,which has an imprecision scaling(1.43±0.02)/N^(0.687±0.003)with respect to the number N of the atomic spins.The measurement scheme is easy to implement and is robust against the measurement fluctuation caused by environment noise and measurement defects. 展开更多
关键词 quantum metrology spin-squeezing standard quantum limit FLUCTUATION
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Surpassing the standard quantum limit of optical imaging via deep learning
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作者 蔡淼 李志向 +8 位作者 吴浩东 阮亚平 唐磊 唐江山 陈明远 张涵 夏可宇 肖敏 陆延青 《Chinese Optics Letters》 SCIE EI CAS CSCD 2023年第8期71-78,共8页
The sensitivity of optical measurement is ultimately constrained by the shot noise to the standard quantum limit.It has become a common concept that beating this limit requires quantum resources.A deep-learning neural... The sensitivity of optical measurement is ultimately constrained by the shot noise to the standard quantum limit.It has become a common concept that beating this limit requires quantum resources.A deep-learning neural network free of quantum principle has the capability of removing classical noise from images,but it is unclear in reducing quantum noise.In a coincidence-imaging experiment,we show that quantum-resource-free deep learning can be exploited to surpass the standard quantum limit via the photon-number-dependent nonlinear feedback during training.Using an effective classical light with photon flux of about 9×10^(4) photons per second,our deep-learning-based scheme achieves a 14 dB improvement in signal-to-noise ratio with respect to the standard quantum limit. 展开更多
关键词 standard quantum limit machine learning optical imaging
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Extrinsic harmful residues in Chinese herbal medicines: types,detection, and safety evaluation 被引量:13
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作者 Cong-min Liu Jia-an Qin +2 位作者 Xiao-wen Dou Mei-hua Yang Xiao-bo Sun 《Chinese Herbal Medicines》 CAS 2018年第2期117-136,共20页
Chinese herbal medicines(CHMs)are playing important roles in the treatment of diseases and human health care throughout the world.However,the extrinsic harmful residues have been threatening the therapies by destroy... Chinese herbal medicines(CHMs)are playing important roles in the treatment of diseases and human health care throughout the world.However,the extrinsic harmful residues have been threatening the therapies by destroying CHMs qualtiy which hinders the international trades of CHMs.This review summarized the extrinsic harmful residues contaminating CHMs in types,detection methods,national and international regulations,and made safety evaluations according to their contaminated levels,aiming to establish understanding among nations or organizations and provide references for the formulation or amendment of relative regulations. 展开更多
关键词 Chinese herbal medicines extrinsic harmful residues limit standards MONITOR REGULATIONS
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