Quantum imaging method and quantum imaging system

Abstract

The invention provides a quantum imaging method and a quantum imaging system. The quantum imaging method comprises the following steps: determining an nth derivative S(n) of signal light formed after incident light irradiates a target object relative to time; acquiring an nth derivative I (n)(x, y) of reference light corresponding to the signal light relative to time; and constructing a quantum imaging model of the target object according to the nth derivative S(n) and the nth derivative I(n)(x, y) to obtain an image of the target object, n being an arbitrary positive integer, and (x, y) being space coordinates of the reference light. According to the quantum imaging method, the multi-order derivative signals of the signal light and the reference light can be obtained through one-time measurement, the number of measurement times is reduced, and further, quantum imaging can be rapidly and efficiently achieved by applying the multi-order derivative signals. In addition, the quantum imaging method provided by the invention reduces the amount of data needing to be stored on the whole, reduces the burden of data storage, and reduces the difficulty of hardware implementation in the quantum imaging system.

Description

technical field [0001] The present application relates to the field of quantum imaging, in particular to a quantum imaging method and a quantum imaging system. Background technique [0002] Quantum imaging technology is an imaging technology that uses the high-order correlation properties of light to obtain object information. Quantum imaging usually requires two beams of light for imaging. One beam of light can be called signal light or probe light, which is irradiated on the target object and interacts with the target object, which can be collected by a barrel detector; It can be called the reference light and can be received by the array detector. The quantum imaging system (for example, a signal processing module) can reproduce the image of the object by performing a large number of composite operations on the relevant data collected by each pixel on the array detector and the signal light collected by the barrel detector. [0003] Since the signal light required for q...

AI Technical Summary

Problems solved by technology

Although the algorithm can achieve high-quality single-pixel imaging, the number of measurements of the algorithm must be consistent with the number of pixels, which is not suitable for large-screen images of the target object

For example, when the target object is a 1000×1000 image, using the base scan algorithm, one million data measurements are required to obtain the image, but the spatial light modulator that projects each base pattern pattern is the fastest at 30KHz, in other words, after the projection It takes more than 30 seconds for one million basic patterns, so it is difficult for the basic scanning algorithm to achieve real-time large-screen imaging

[0006] In addition, although existing quantum imaging algorithms such as Differential Ghost Imaging algorithm, Normalized Ghost Imaging algorithm, and Higher-Order Ghost Imaging algorithm can improve the imaging quality of target objects, these algorithms need to store a large amount of data to calculate the average value, and it is difficult to use the chip Realization, not conducive to the application of quantum imaging

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