Abstract The precision measurement of Doppler frequency shifts is of great significance for improving the precision of speed measurement. This paper proposes a precision measurement scheme of tiny Doppler shifts by a parametric amplification process and squeezed vacuum state. This scheme takes a parametric amplification process and squeezed vacuum state into a detection system, so that the measurement precision of tiny Doppler shifts can exceed the Cramér-Rao bound of coherent light. Simultaneously, a simulation study is carried out on the theoretical basis, and the following results are obtained: for the signal light of Gaussian mode, when the amplification factor g=1 and the squeezed factor r=0.5, the measurement error of Doppler frequency shifts is 14.4% of the Cramér-Rao bound of the coherent light in our system. At the same time, when the local light mode and squeezed vacuum state mode are optimized, the measurement precision of this scheme can be further improved by times, where n is the mode-order of the signal light.
Zhi-Yuan Wang(王志远), Zi-Jing Zhang(张子静), and Yuan Zhao(赵远) Super-sensitivity measurement of tiny Doppler frequency shifts based on parametric amplification and squeezed vacuum state 2021 Chin. Phys. B 30 074202
[1] Brousseau C, Mahdjoubi K and Emile O 2019 Electron. Lett.55 709 [2] Zhuo H, Wen A J and Tu Z Y 2020 Opt. Commun.470 125798 [3] Yang V, Gordon M, Qi B, et al. 2003 Opt. Express11 794 [4] Lieb K P, Börner H G, Dewey M S, et al. 2016 Phys. Lett. B215 50 [5] Liu F, Zhou Y, Yu J, Guo J, Wu Y, Xiao S, Wei D, Zhang Y, Jia X and Xiao M 2017 Appl. Phys. Lett.110 021106 [6] Ono T and Hofmann H F 2010 Phys. Rev. A81 033819 [7] Berry D W, Hall M J W and Wiseman H M 2013 Phys. Rev. Lett.111 113601 [8] Du W, Jia J, Chen J F, Ou Z Y and Zhang W 2018 Opt. Lett.43 1051 [9] Ou Z Y 2012 Phys. Rev. A85 023815 [10] Manceau M, Leuchs G, Khalili F and Chekhova M 2017 Phys. Rev. Lett.119 223604 [11] Hosten O and Kwiat P 2008 Science319 787 [12] Pfeifer M and Fischer P 2011 Opt. Express19 16508 [13] Delaubert V, Treps N, Lassen M, Harb C C, Fabre C, Lam P K and Bachor H A 2006 Phys. Rev. A74 53823 [14] McKenzie K, Shaddock D A, McClelland D E, Buchler B C and Lam P K 2002 Phys. Rev. Lett.88 231102 [15] Abadie J, Abbott B, Abbott R, et al. 2011 Nat. Phys.7 962 [16] Shao C G, Chen Y F, Sun R, Cao L S, Zhou M K, Hu Z K, Yu C and Miiller H 2018 Phys. Rev. D97 024019 [17] Otterstrom N, Pooser R C and Lawrie B J 2014 Opt. Lett.39 6533 [18] Fabre C, Fouet J B, and Maitre A 2000 Opt. Lett.25 76 [19] Treps N, Grosse N, Bowen P, Fabre C, Bachor H A and Lam P K 2003 Science301 940 [20] Hsu M T L, Delaubert V, Lam P K and Bowen W P 2004 J. Opt. B Quantum Semiclassical Opt.6 495 [21] Delaubert V, Treps N, Lassen M, Harb C C, Fabre C, Lam P K and Bachor H A 2006 Phys. Rev. A74 053823 [22] Viza G I, Martínez-Rincón J, Howland G A, et al. 2013 Opt. Lett.38 2949 [23] Starling D J, Dixon P B, Jordan A N, et al. 2010 Phys. Rev. A82 063822 [24] Pinel O, Fade J, Braun D, et al. 2012 Phys. Rev. A85 010101(R)
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