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Enhancing parameter precision of optimal quantum estimation by quantum screening  ( SCI-EXPANDED收录)   被引量:8

文献类型:期刊文献

中文题名:Enhancing parameter precision of optimal quantum estimation by quantum screening

英文题名:Enhancing parameter precision of optimal quantum estimation by quantum screening

作者:Huang, Jiang[1];Guo, You-Neng[2];Xie, Qin[1]

机构:[1]Guangdong Ocean Univ, Phys & Photoelect Sci Dept, Zhanjiang 524088, Peoples R China;[2]Changsha Univ, Dept Elect & Commun Engn, Changsha 410003, Peoples R China

年份:2016

卷号:25

期号:2

中文期刊名:Chinese Physics B

外文期刊名:CHINESE PHYSICS B

收录:SCI-EXPANDED(收录号:WOS:000370179100008)、CSTPCD、、CSCD2015_2016、Scopus、WOS、CSCD

基金:Project supported by the National Natural Science Foundation of China (Grant No. 11374096), the Natural Science Foundation of Guangdong Province, China (Grants No. 2015A030310354), and the Project of Enhancing School with Innovation of Guangdong Ocean University (Grants Nos. GDOU2014050251 and GDOU2014050252).

语种:英文

中文关键词:quantum Fisher information;quantum screening;parameter estimation

中文摘要:We propose a scheme of quantum screening to enhance the parameter-estimation precision in open quantum systems by means of the dynamics of quantum Fisher information. The principle of quantum screening is based on an auxiliary system to inhibit the decoherence processes and erase the excited state to the ground state. By comparing the case without quantum screening, the results show that the dynamics of quantum Fisher information with quantum screening has a larger value during the evolution processes.

外文摘要:We propose a scheme of quantum screening to enhance the parameter-estimation precision in open quantum systems by means of the dynamics of quantum Fisher information. The principle of quantum screening is based on an auxiliary system to inhibit the decoherence processes and erase the excited state to the ground state. By comparing the case without quantum screening, the results show that the dynamics of quantum Fisher information with quantum screening has a larger value during the evolution processes.

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