Individual versus simultaneous estimation of two parameters in a correlated noisy environment

Abstract

Recently, the phase parametric estimation for a single qubit system driven by a phase noisy laser under non-Markovian dynamics has been reported [Annals of Physics 351, 952 (2014)]. We here generalize the single-parameter estimation to the two-parameter scenario where a two-qubit system is influenced by the classical correlated noisy laser, and compare the performances of two-parameter estimation in both individual and simultaneous strategies by using the quantum Fisher information and the quantum Fisher information matrix, respectively. Our results show the phase parametric estimation precision can be significantly improved due to the memory effect arising from successive applications of the noisy laser. With the memory coefficient μ increasing, the precision of parameter estimation becomes more accurate. Besides, the phase parameter estimation precision can be drastically enhanced by engineering the ratios of classical phase diffusion rate and system-environment coupling strength in both Markovian and non-Markovian regions. Remarkably, we find the simultaneous estimation of two-phase parameters is not always advantageous over the individual strategy.