Fig. 2 | Communications Physics

Fig. 2

From: Efficiently reconstructing compound objects by quantum imaging with higher-order correlation functions

Fig. 2

The sliding-window method. Examples of the Fisher information matrix for large pixels (a) and for super-resolution regime (b) for reconstruction of a one-dimensional image with the second-order correlation function. Horizontal axes number the pixels. The object (c) is used for simulation of G(2) (panels d and e present the correlation map and its normalized diagonal part; axes in panel d number the pixels), for 106 joint detection events. The sliding-window method is schematically shown in panel f, the reconstruction result is shown in panel g. The result of the reconstruction (solid line) is compared with the original model object (dashed line) and diagonal part of G(2) (gray line) in plot (h); the horizontal axis in panel h numbers pixels. Simulations are performed for a thermal source

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