A Remote Security Computational Ghost Imaging Method Based on Quantum Key Distribution Technology

Abstract

Computational ghost imaging (Computational GI) is a method of acquiring object information by measuring light field intensity, which would be used to achieve imaging in a complicated environment. The main issue to be addressed in computational GI technology is how to achieve rapid and high-quality imaging while assuring the secure transmission of detection data in practical distant imaging applications. In order to address the mentioned issues, this paper proposes a remote secure computational GI method based on quantum communication technology. Using the quantum key distribution (QKD) network, the computational GI system can be reconstructed while solving the problem of information security transmission between the detector and the reconstructed computing device. By exploring the influence of different random measurement matrices on the quality of image reconstruction, it is found that the randomness of the matrix is positively correlated with the imaging quality. The higher the randomness, the higher the imaging quality. Based on this discovery, a new type of quantum cryptography measurement matrix is constructed using quantum cryptography with high randomness. In addition, through further orthogonalization and normalization of the matrix, the matrix has both good randomness and orthogonality, and high-quality imaging results can be obtained at a low sampling rate. The feasibility and effectiveness of the method are verified by random detection, numerical simulation, and simulation imaging experiments. Compared with the traditional computational GI system, the method proposed in this paper has higher transmission security, rapid imaging, and high-quality imaging under this premise, which provides a new idea for the practical development of computational GI technology.

High-performance deep-learning based polarization computational ghost imaging with random patterns and orthonormalization

“…Figure 1(b) show the data processing with orthonormalization. In our scheme, the Gram-Schmidt and normalization processes are performed on the value of bucket detector [12]. To this end, a group of projection coefficient should be calculated from the value of illumination patterns, and can be expressed as:…”

“…are the original values from BD. One may refer to [12] for details of the orthonormalization process. After the above orthonormalization process, the relation between the reference patterns and the bucket detector values is well maintained.…”

“…It simplifies the light path and improves the performance of ghost imaging. In comparison to traditional imaging, CGI has already prohibited great potentials in applications, such as single-pixel imaging [5,6], biological imaging [7][8][9][10], information encryption [11][12][13], laser radar technique [14,15] and imaging through atmospheric turbulence environment [16][17][18][19][20][21]. However, the reflectivity or transmittance of targets are sometimes close to the background in many real-world scenarios, making it difficult to identify the targets from the background by the received light intensity.…”

“…In this paper, we introduce a random illuminated pattern into the Improved U-net (IU-net) based PCGI scheme, and the inputs of IU-net are the values obtained by bucket detector after orthonormalization [12,41,42], which can be called as the random-pattern orthonormalization for the IU-net based PCGI (RPO-IU-PCGI). It is worth noting that the random pattern indicates irregular distribution of the pattern, which is generated by a digital micromirror device (DMD) instead of a thermal or pseudo-thermal light.…”

Quantum Key Distribution Protocol Selector Based on Machine Learning for Next-Generation Networks

“…The elementary operational unit of QC is the quantum cubit (qubit) [9] and involves fundamental concepts of superposition and matching in quantum scenarios [10] that have accounted for its high performance. QC and QC-assisted communications are increasingly gaining an audience among the scholarly community and have been investigated in the literature [11][12][13][14]. QC-communication has promising abilities to offer improved communication and security in the 6G networks [15].…”