2022
DOI: 10.1016/j.physleta.2022.127947
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Ultimate precision of joint parameter estimation under noisy Gaussian environment

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Cited by 7 publications
(3 citation statements)
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“…For equal variances in both quadratures this reduces to the known results of refs. 57,98,99 Probability density function for distribution of MSE values We wish to derive the probability density function (PDF) for obtaining a certain MSE given N repetitions of the experiment with mean MSE of μ M in each quadrature. The error in each estimate, x i or p i , will be randomly distributed following a normal distribution with zero mean and standard deviation of ffiffiffiffiffiffi μ M p .…”
Section: Methodsmentioning
confidence: 99%
“…For equal variances in both quadratures this reduces to the known results of refs. 57,98,99 Probability density function for distribution of MSE values We wish to derive the probability density function (PDF) for obtaining a certain MSE given N repetitions of the experiment with mean MSE of μ M in each quadrature. The error in each estimate, x i or p i , will be randomly distributed following a normal distribution with zero mean and standard deviation of ffiffiffiffiffiffi μ M p .…”
Section: Methodsmentioning
confidence: 99%
“…In this case, the minimization of Eq. (19) gives the expression of the GIP in terms of the covariance matrix elements [24]…”
Section: Gaussian Interferometric Powermentioning
confidence: 99%
“…In addition, the Gaussian states have a specific elegant formalism and provide beneficial tools to encode and process quantum information with continuous variables due to the limitation of the degrees of freedom, which is limited only to the displacement vector and the covariance matrix. As a matter of fact, the Gaussianity of quantum states is preserved during many quantum transformations operations, either unitary [14,15] or non-unitary [16,17,18,19]. These types of quantum states have been used successfully to carry out quantum teleportation and quantum error correction [20,21].…”
Section: Introductionmentioning
confidence: 99%