Steady quantum sparse imaging system and method

Abstract

The invention belongs to the technical field of quantum imaging, and discloses a steady quantum sparse imaging system and a method. The system comprises a laser, a half-wave plate, BBO (Barium Boron Oxide) crystal, a first focusing lens, a beam splitter, a second focusing lens, a spatial light modulator, a first single photon detector, a second single photon detector, a time correlation single photon counting card and a computer. Under the situation of interference and system errors, imaging robustness can be guaranteed.

Description

technical field [0001] The invention belongs to the technical field of quantum imaging, and relates to a robust quantum sparse imaging system and method, specifically, a quantum sparse imaging method and device based on entangled two-photons and robust to system errors and disturbances. In the case of and systematic errors, the robustness of the imaging can be guaranteed. Background technique [0002] As a new imaging technology, quantum imaging uses quantum entanglement to enable the independent signal space and reference space to transmit object image information in one of the spaces, so quantum imaging is also called correlated imaging or ghost imaging. [0003] In traditional imaging, there are mainly the following three defects: 1) The imaging resolution is limited by the Rayleigh diffraction limit; 2) Imaging requires a surface detector to receive the two-dimensional scanning data of the image; 3) Interference and noise are easy to produce Affected, the resolution of ...

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Problems solved by technology

[0003] In traditional imaging, there are mainly the following three defects: 1) The imaging resolution is limited by the Rayleigh diffraction limit; 2) Imaging requires a surface detector to receive the two-dimensional scanning data of the image; 3) Interference and noise are easy to produce Influence, so that the resolution of the imaging result is low

At the same time, quantum imaging also has defects, such as expensive equipment, long sampling time, and large data processing volume.

Generally, a random matrix is ​​selected as the observation matrix. Due to the uncertainty of the random matrix, it cannot be stored, resulting in a large gap in the recovery effect of each imaging, and the recovery effect is not good when the number of samples is small.

In addition, in the actual imaging process, systematic errors and disturbances are unavoidable, which will cause deviations in the coincidence counts of existing methods, thereby degrading the imaging effect

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