2013/09/23 by Salini Jose, Anil Shaji
Computer Science · Physics and Astronomy · #Atomic and Subatomic Physics Research #Bose–Einstein condensate #Cold Atom Physics and Bose-Einstein Condensates #Computer science #Metrology #Physics #Quantum #Quantum Information and Cryptography #Quantum computer #Quantum mechanics #Quantum metrology #Quantum network #SIGNAL (programming language) #Statistical physics #cond-mat.quant-gas #quant-ph
paper · pdf · doi:10.1103/physreva.88.052312
8 Pages, 7 figures, Typos corrected, 3 references added
arxiv created 2013/09/23 · openalex publication_date 2013/11/12 · arxiv updated 2015/06/17 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
In the quantum metrology protocol described by Tacla et al. [Tacla, Boixo, Datta, Shaji, and Caves, Phys. Rev. A 82, 053636 (2010)] where a two-mode Bose-Einstein condensate (BEC) is used for parameter estimation, the measured quantity is to be obtained by doing a one-parameter fit of the observed data to a theoretically expected signal. Here we look at different levels of approximation used to model the two-mode BEC to see how the estimate improves when increasing the level of detail is added to the theory while at the same time keeping the expected signal computable.