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We theoretically demonstrate a novel Stimulated Raman Scattering spectroscopy with hyper spectral resolution and high-speed spectral acquisition using offset-phase controlled fs-pulse bursts.
A holographic camera for acquiring high-fidelity holograms of real 3D scenes based on a liquid camera and an end-to-end physical model-driven network is proposed.
We have theoretically and experimentally proven the potential of multi-junction VCSELs to achieve high electro-optical conversion efficiency, providing insights for the further development and application of high efficiency semiconductor lasers.
Inspired by human brain for multi-task continual learning, a generalized photonic neuromorphic architecture (L2ONN) is proposed to model physical-driven light sparsity and parallelism, towards reconfigurable and scalable lifelong learning.
We report a light-controlled soft bio-microrobots (called “Ebot”) based on Euglena gracilis that are capable of performing multiple tasks in narrow and changeable microenvironments with high controllability, deformability and adaptability.
We cascade VO2-based tunable optical cavities with selective-transparent layers to overcome the wavelength dependence, realizing the multispectral manipulation with reversible tunability covering wavelengths ranging from the VIS to MW regions.
The centrally located reciprocal point can achieve single-mode transmission and switch off the photonic molecule. The deviated reciprocal point can switch on the photonic molecule and dynamically control the splitting.
A novel generic high-fidelity Raman spectral denoising and baseline correction strategy to enhance diverse cross-device/specimen biomedical applications and hyperspectral image chemical resolution visualization to reveal spatial features of cancer tissue.
We develop a wearable and interactive multicolored photochromic fiber using the thermal drawing technique, which overcomes the dependence on external light sources and the non-uniform light emission observed in polymer optical and photochromic fibers.
The theoretical unlimited orbital angular momentum states have been utilized as node signals in an optical neural network to implement machine learning tasks.
Strong effective photon–photon interactions (Kerr-like optical nonlinearity) via the Rydberg blockade phenomenon in Cu2O-microcavity achieved under pulsed resonant excitation enabling fundamental studies of strongly correlated polaritonic states and quantum optical applications.
We propose a new type of classical optical convolutional neural network by introducing the optical correlation. Such a network can exhibit “quantum speedup”like the quantum neural networks.
We demonstrate a high-performance single-photon source based on a monolithic FP microcavity, and the thin-film microcavity structure facilitates effective strain transduction.
We not only confirmed the superfluorescence effect, but also demonstrated the phase transition to cooperative exciton-polariton condensation. This was achieved by applying a regulatory dimension of light field.