
- Jul. 18, 2025
- Vol. 4, Issue 4 (2025)
- Jul. 18, 2025
- Vol. 4, Issue 4 (2025)
- Jul. 18, 2025
- Vol. 4, Issue 3 (2025)
- Jul. 18, 2025
- Vol. , Issue (2025)
- Jul. 18, 2025
- Vol. , Issue (2025)
Continuous-variable quantum key distribution (CV QKD) using optical coherent detectors is practically favorable due to its low implementation cost, flexib
Continuous-variable quantum key distribution (CV QKD) using optical coherent detectors is practically favorable due to its low implementation cost, flexibility of wavelength division multiplexing, and compatibility with standard coherent communication technologies. However, the security analysis and parameter estimation of CV QKD are complicated due to the infinite-dimensional latent Hilbert space. Also, the transmission of strong reference pulses undermines the security and complicates the experiments. In this work, we tackle these two problems by presenting a time-bin-encoding CV protocol with a simple phase-error-based security analysis valid under general coherent attacks. With the key encoded into the relative intensity between two optical modes, the need for global references is removed. Furthermore, phase randomization can be introduced to decouple the security analysis of different photon-number components. We can hence tag the photon number for each round, effectively estimate the associated privacy using a carefully designed coherent-detection method, and independently extract encryption keys from each component. Simulations manifest that the protocol using multi-photon components increases the key rate by two orders of magnitude compared to the one using only the single-photon component. Meanwhile, the protocol with four-intensity decoy analysis is sufficient to yield tight parameter estimation with a short-distance key-rate performance comparable to the best Bennett-Brassard-1984 implementation.show less
- Jul.18,2025
- Photonics Research,Vol. 13, Issue 8
- 2013 (2025)
- Jul.18,2025
- Photonics Insights,Vol. 4, Issue 3
- C05 (2025)
Visible optical frequency combs are essential to optical atomic clocks, astronomical spectrograph calibration, and biological imaging. However, due to the
Visible optical frequency combs are essential to optical atomic clocks, astronomical spectrograph calibration, and biological imaging. However, due to the limitations of the dispersion properties of available materials and the Q-factors of the optical microresonators working at visible wavelengths, the generation of the visible soliton microcomb remains highly challenging. Here, we demonstrate a chip-based visible single-soliton microcomb spanning two-thirds of an octave (ranging from 632.5 to 950.1 nm) by precisely engineering the dispersion of a silica microdisk resonator. Two dispersion waves at the spectrum edges are created by simultaneously employing the higher order dispersion and mode interaction in a microresonator. In particular, we achieve a high Q-factor with small mode volume at the short wavelength, which facilitates the generation of the visible soliton microcombs with 1.1 mW pump power. Moreover, based on the soliton self-frequency shift, we implement a precise adjustment of the dispersive wave, which makes the highest power tooth within the dispersive wave access the transition of Sr88 + for the application in optical atomic clocks.show less
- Jul.18,2025
- Advanced Photonics,Vol. 7, Issue 5
- 056002 (2025)
Coherent combining of several low-energy few-cycle beams offers a reliable and feasible approach to producing few-cycle laser pulses with energies exceedi
Coherent combining of several low-energy few-cycle beams offers a reliable and feasible approach to producing few-cycle laser pulses with energies exceeding the multi-joule level. However, time synchronization and carrier-envelope phase difference (ΔCEP) between pulses significantly affect the temporal waveform and intensity of the combined pulse, requiring precise measurement and control. Here, we propose a concise optical method based on the phase retrieval of spectral interference and quadratic function symmetry axis fitting to simultaneously measure the time synchronization and ΔCEP between few-cycle pulses. The control precision of our coherent beam combining system can achieve a time delay stability within 42 as and ΔCEP measurement precision of 40 mrad, enabling a maximum combining efficiency of 98.5%. This method can effectively improve the performance and stability of coherent beam combining systems for few-cycle lasers, which will facilitate the obtaining of high-quality few-cycle lasers with high energy.show less
- Jul.18,2025
- High Power Laser Science and Engineering,Vol. 13, Issue 3
- 03000e47 (2025)
In this paper, we propose a new complex-valued dense atrous neural network (CDANN) for phase-only hologram (POH) generation. The network architecture integrates a complex-valued partial convolut
In this paper, we propose a new complex-valued dense atrous neural network (CDANN) for phase-only hologram (POH) generation. The network architecture integrates a complex-valued partial convolution (C-PConv) module into the down-sampling stages of dual U-Net structures, enhancing computational efficiency through selective channel-wise processing. To improve feature extraction, we introduce a novel complex-value dense atrous convolution (DAC) module, which employs four cascaded branches with multi-scale atrous convolutions to capture intricate features while maintaining spatial resolution. Additionally, we integrate a spatial pyramid pooling (SPP) module into the U-Net architecture to encode multi-scale contextual features derived from the DAC module. This hierarchical integration expands the U-Net’s receptive field while facilitating cross-layer feature fusion. The proposed method achieves an average signal-to-noise ratio (PSNR) of 32.19 dB and an average structural similarity index (SSIM) of 0.892 within a running time of 24 ms, outperforming conventional approaches. Experiments confirm significant improvements in both reconstruction quality and computational efficiency, making CDANN suitable for real-time holographic displays.show less
- Jul.17,2025
- Chinese Optics Letters,Vol. 23, Issue 12
- (2025)
In past two decades, optogenetic technology has developed to be the most accurate method for investigating or treatment of neural correlated diseases. Currently, the applications of optogenetic
In past two decades, optogenetic technology has developed to be the most accurate method for investigating or treatment of neural correlated diseases. Currently, the applications of optogenetic technology have been expanded from the initial central nervous system to peripheral nervous system, circulatory system, locomotor system, alimentary system, urinary system and so on. This review summarized the recent progresses of optogenetic technology in biomedical applications through two categories: to activate neural impulse or to inhibit neural impulse. The involved diseases include Alzheimer's disease, Ischemic stroke, Parkinson's disease, Epilepsy, Spinal cord injury, Cardiac arrhythmias, chronic kidney disease etc. Furthermore, the basic and clinical researches of optogenetic technology in visual restoration are highlighted. Eventually, the challenges of optogenetic technology for clinical applications are discussed.show less
- Jul.17,2025
- Advanced Photonics,Vol. 7, Issue 5
- (2025)
Ce3+-doped gadolinium-based borosilicate (GBSCx) glass scintillators with ultra-high concentration of 16 mol% were synthesized in ambient atmosphere for future Calorimeter application. The valen
Ce3+-doped gadolinium-based borosilicate (GBSCx) glass scintillators with ultra-high concentration of 16 mol% were synthesized in ambient atmosphere for future Calorimeter application. The valence state of Ce was preciously controlled in the glass by X-ray absorption near edge structure (XANES) spectrum. With the increased Ce3+ concentration, the NBO/BO ratio decreases notably from 5.15 to 0.56. The GBSCx glass scintillators exhibit the broad photoluminescence (PL) band within 350-550 nm regions, with a maximum PL quantum yield (PL QY) of 60.6%. In X-ray excited luminescence (XEL), the integral intensity of the GBSC2 glass is 18.4% compared to the BGO crystal. Meanwhile, it has the highest light yield of 1043 ph/MeV with an energy resolution of 28.4% at 662 keV under γ-ray excitation. When the doped concentration of Ce3+ exceeds 4 mol%, the proportion of light yield within 1 μs integral gate exceeds 95%, which conforms to the requirement of fast time response. Interestingly, the concentration quenching effect of high concentration Ce3+ (x≤14) does not occur in the glass scintillators under γ-ray excitation. With the increase of Ce3+ concentration, both the fast (100-18 ns) and slow (1000-59 ns) components of scintillation decay time decrease dramatically. Therefore, the developed GBSCx glass scintillators, featured with the reasonable light yield and fast time response, have a promising application in future high energy physics (HEP) experiments.show less
- Jul.16,2025
- Chinese Optics Letters,Vol. 23, Issue 12
- (2025)
Robust three-dimensional (3D) recognition across different viewing angles is crucial for dynamic applications such as autonomous navigation and augmented reality; however, the application of the
Robust three-dimensional (3D) recognition across different viewing angles is crucial for dynamic applications such as autonomous navigation and augmented reality; however, the application of the technology remains challenging owing to factors such as orientation, deformation, and noise. Wave-based analogous computing, particularly diffraction neural networks, constitutes a scan-free, energy-efficient means of mitigating these issues with strong resilience to environmental disturbances. Herein, we present a real-time all-directional 3D object recognition and distortion correction system using a deep knowledge prior diffraction neural network (DNN). Our approach effectively addressed complex two-dimensional (2D) and 3D distortions by optimizing the metasurface parameters with minimal training data and refining them using diffraction neural networks. Experimental results demonstrate that the system can effectively rectify distortions and recognizes objects in real time, even under varying perspectives and multiple complex distortions. In 3D recognition, the prior DNN reliably identifies both dynamic and static objects, maintaining stable performance despite arbitrary orientation changes, highlighting its adaptability to complex and dynamic environments. Our system can function either as a preprocessing tool for imaging platforms or as a stand-alone solution, facilitating 3D recognition tasks such as motion sensing and facial recognition. It offers a scalable solution for high-speed recognition tasks in dynamic and resource-constrained applications.show less
- Jul.16,2025
- Advanced Photonics,Vol. 7, Issue 5
- (2025)
- Journal
- Jul. 13, 2025
- Journal
- Jul. 13, 2025