A semidefinite program over quadratic phase-space observables computes the Holevo Cramér-Rao bound for Gaussian states with parameters encoded in both the first moments and the covariance matrix.
Towards superresolution surface metrology: Quantum estimation of angular and axial separations
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abstract
We investigate the localization of two incoherent point sources with arbitrary angular and axial separations in the paraxial approximation. By using quantum metrology techniques, we show that a simultaneous estimation of the two separations is achievable by a single quantum measurement, with a precision saturating the ultimate limit stemming from the quantum Cram\'er-Rao bound. Such a precision is not degraded in the sub-wavelength regime, thus overcoming the traditional limitations of classical direct imaging derived from Rayleigh's criterion. Our results are qualitatively independent of the point spread function of the imaging system, and quantitatively illustrated in detail for the Gaussian instance. This analysis may have relevant applications in three-dimensional surface measurements.
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Multiparameter quantum estimation with Gaussian states: efficiently evaluating Holevo, RLD and SLD Cram\'er-Rao bounds
A semidefinite program over quadratic phase-space observables computes the Holevo Cramér-Rao bound for Gaussian states with parameters encoded in both the first moments and the covariance matrix.