Since the quality of underwater classical optical imaging is constrained by the absorptive and scattering nature for underwater environment, it is a challenging task to obtain long distance imaging. Ghost imaging is a second-order correlation imaging method using co-incidence measurement, which has the advantages of disturbance-free and wider angle of view (AOV), which can effectively improve the imaging result. We have investigated the computational ghost imaging under the underwater conditions for different turbidities and from different angles. The reconstruction obtained by computational ghost imaging can be rather desirable, in the scenarios that the classical optical imaging method completely fails. Moreover, the underwater computational ghost imaging can bear a wide range of AOV, where the obtained imaging results can be satisfiable in regardless of the detector’s locations. This result brings a better alternative for underwater optical imaging.

Present study reports a novel visible-light transparent, microwave broadband absorbing metamaterial. The designed structure is implemented using three different sizes of indium tin oxide (ITO) conductive film patch arrays, which is capable of achieving a reflection coefficient ≤ -10 dB from 2.2 to 18 GHz in simulations. Moreover, a fractional bandwidth of about 156.4% and the absorber thickness of only 0.088 times the cutoff wavelength (the lowest absorption frequency) was achieved. Changing the angle of incidence ensures a good absorption effect with large angle stability, and the absorber has good transmission in the visible range. In accordance with the simulation, a sample with a size of 299 × 299 mm was fabricated, and its wave absorption performance was assessed. The experimental results and the various incidence angles in the simulation of the TE and TM modes correspond well, allowing for the realization of large angle broadband absorption at frequencies ranging from 2.2 to 18 GHz. Thus, it has been found that the structure has good optical transparency and broadband radar absorption capability, both of which will have a wide range of applications in the fields of multi-spectrum stealth and electromagnetic compatibility.

Deep-learning (DL) methods have gained significant attention in ghost imaging (GI) as promising approaches to attain high-quality reconstructions with limited sampling rates. However, existing DL-based GI methods primarily emphasize pixel-level loss and one-to-one mapping from bucket signals or low-quality GI images to high-quality images, tending to overlook the diversity in image reconstruction. Interpreting image reconstruction from the perspective of conditional probability, we propose the utilization of the denoising diffusion probabilistic model (DDPM) framework to address this challenge. Our designed method, known as DDPMGI, can not only achieve better quality but also generate reconstruction results with high diversity. At a sampling rate of 10%, our method achieves an average PSNR of 21.19 dB and an SSIM of 0.64, surpassing the performance of other comparison methods. The results of physical experiments further validate the effectiveness of our approach in real-world scenarios. Furthermore, we explore the potential application of our method in color GI reconstruction, where the average PSNR and SSIM reach 20.055 dB and 0.723, respectively. These results highlight the significant advancements and potential of our method in achieving high-quality image reconstructions in GI, including color image reconstruction.

We report an experimental demonstration of generating gap soliton trains in a four-wave-mixing (FWM) signal. Such spatial FWM surfacelike gap soliton trains are induced in a periodically modulated self-defocusing atomic medium by the cross-phase modulation, which can be reshaped under different experimental conditions, such as different atomic densities, nonlinear dispersions, and dressing fields. Controlling spatial gap solitons can have important applications in image memory, processing, and communication.

Two-photon superbunching of classical light is observed with single-mode continuous-wave laser light in a linear optical system. By adding more two-photon paths via rotating ground glasses, pinholes, lens, etc., $g^{(2)}(0)=7.10\pm 0.07$ is experimentally observed. The second-order temporal coherence function of the superbunching pseudothermal light is theoretically and experimentally studied in detail. It is predicted that the degree of coherence can be increased dramatically by adding more multi-photon paths. For instance, the degree of the second- and third-order coherence of the superbunching pseudothermal light with five rotating ground glasses can reach 32 and 7776, respectively. The results are helpful to understanding the physics of superbunching and improving the visibility of thermal light ghost imaging.