Qin Wang

Area of research

Artificial Intelligence · Atomic and Molecular Physics, and Optics

Research interest

Research topics from publications: Preparation of Yellow-Green-Emissive Carbon Dots and Their Application in Constructing a Fluorescent Turn-On Nanoprobe for Imaging of Selenol in Living Cells; Astragaloside IV inhibits hepatocellular carcinoma by continually suppressing the development of fibrosis and regulating pSmad3C/3L and Nrf2/HO-1 pathways; Practical Phase-Modulation Stabilization in Quantum Key Distribution via Machine Learning; Ratiometric Fluorescent Probe for Vicinal Dithiol-Containing Proteins in Living Cells Designed via Modulating the Intramolecular Charge Transfer–Twisted Intramolecular Charge Transfer Conversion Process; Twin-field quantum digital signatures. Representative work: = 520 nm in water) were prepared by using m-aminophenol as carbon precursor through a facile solvothermal method. The surface of Y-G-CDs was then covalently functionalized with 2,4-dinitrobenzenesulfonyl chloride (DNS-Cl) to afford the 2,4-dinitrobenzene-functionalized CDs (CD-DNS) as a nanoprobe for selenol. CD-DNS is almost nonfluorescent. However, upon treating with Sec, the DNS moiety of CD-DNS can be readily cleaved by selenolate through a nucleophilic substitution process, resulting in the formation of highly fluorescent Y-G-CDs and hence leads to a dramatic increase in fluorescence intensity. The proposed nanoprobe exhibits high sensitivity and selectivity toward Sec over biothiols an In secure communication, maintaining system stability is crucial for practical quantum key distribution (QKD). To date, ``scanning-and-transmitting'' programs have been adopted to stabilize all QKD systems, reducing efficiency in key transmission. For this reason, the authors turn to a machine-learning model to predict variations in physical parameters and actively exercise real-time control over corresponding QKD devices, dramatically increasing the efficiency of key transmission. This approach should also be applicable to other QKD systems using any coding scheme or QKD protocol, and thus should impact large-scale application of quantum communication networks in the near future

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