Distributed quantum imaging method, device and system and computer readable storage medium

Abstract

The invention discloses a distributed quantum imaging method, device and system and a computer readable storage medium. The distributed quantum imaging system comprises a plurality of lasers placed at different spatial positions, a plurality of spatial light modulators, a detector and an imaging processor. Each laser uniquely corresponds to one spatial light modulator. Each spatial light modulator is used for modulating light field parameters generated by the corresponding laser in each measurement process and projecting modulated light signals to an object to be measured; the detector is used for collecting transmission light of light signals output by the lasers and passing through the to-be-measured object, converting the transmission light into corresponding measurement electric signals and sending the measurement electric signals to the imaging processor; and the imaging processor is used for obtaining information of the object to be measured by using a compressed sensing algorithm, a sensing matrix constructed based on light field information of multiple measurement processes and reconstruction of the measurement electric signals. The quantum imaging efficiency and the quantum imaging resolution can be effectively improved.

Description

technical field [0001] The present application relates to the field of computer technology, in particular to a distributed quantum imaging method, device, system and computer-readable storage medium. Background technique [0002] Quantum imaging is a non-local imaging technology based on quantum fluctuations, also known as "Ghost Imaging". Compared with traditional imaging technology, it has the advantages of fast imaging speed and strong anti-interference ability, and is widely used in Medical imaging, remote sensing imaging and other fields. [0003] Traditional signal compression and reconstruction need to follow the Nyquist-Shannon sampling theorem, that is, the sampling rate must be at least twice the highest frequency of the signal to ensure that no distortion occurs during reconstruction, which will undoubtedly bring more and more problems in the process of signal sampling, transmission and storage. The pressure is increasing. Related technologies usually use optica...

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Problems solved by technology

[0003] Traditional signal compression and reconstruction need to follow the Nyquist-Shannon sampling theorem, that is, the sampling rate must be at least twice the highest frequency of the signal to ensure no distortion during reconstruction. This will undoubtedly bring more and more pressure in the process of signal sampling, transmission and storage

Related technologies usually use optical correlation computing imaging algorithms to perform image restoration operations on quantum imaging, but they often require a large amount of sampling data, take a long time, and the resolution of the final imaging is low

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