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797 results on '"Lv, Zhe"'

1. Self-suppressed quantum diffusion and fundamental noise limit of soliton microcombs

Author

Jin, Xing, Lv, Zhe, Gong, Qihuang, and Yang, Qi-Fan

Subjects
Physics - Optics
Abstract

Quantum diffusion of soliton microcombs has long been recognized as their fundamental noise limit. Here we surpass such limit by utilizing dispersive wave dynamics in multimode microresonators. Through the recoil force provided by these dispersive waves, the quantum diffusion can be suppressed to a much lower level that forms the ultimate fundamental noise limit of soliton microcombs. Our findings enable coherence engineering of soliton microcombs in the quantum-limited regime, providing critical guidelines for using soliton microcombs to synthesize ultralow-noise microwave and optical signals., Comment: 8 pages, 5 figures

Published
2023

3. Design of JiuTian Intelligent Network Simulation Platform

Author

Zhao, Lei, Zhang, Miaomiao, Li, Guangyu, Guan, Zhuowen, Liu, Sijia, Xiao, Zhaobin, Cao, Yuting, Lv, Zhe, and Liang, Yanping

Subjects
Computer Science - Networking and Internet Architecture, Computer Science - Artificial Intelligence
Abstract

This paper introduced the JiuTian Intelligent Network Simulation Platform, which can provide wireless communication simulation data services for the Open Innovation Platform. The platform contains a series of scalable simulator functionalities, offering open services that enable users to use reinforcement learning algorithms for model training and inference based on simulation environments and data. Additionally, it allows users to address optimization tasks in different scenarios by uploading and updating parameter configurations. The platform and its open services were primarily introduced from the perspectives of background, overall architecture, simulator, business scenarios, and future directions.

Published
2023

4. Repeated Omicron exposures override ancestral SARS-CoV-2 immune imprinting

Author

Yisimayi, Ayijiang, Song, Weiliang, Wang, Jing, Jian, Fanchong, Yu, Yuanling, Chen, Xiaosu, Xu, Yanli, Yang, Sijie, Niu, Xiao, Xiao, Tianhe, Wang, Jing, Zhao, Lijuan, Sun, Haiyan, An, Ran, Zhang, Na, Wang, Yao, Wang, Peng, Yu, Lingling, Lv, Zhe, Gu, Qingqing, Shao, Fei, Jin, Ronghua, Shen, Zhongyang, Xie, Xiaoliang Sunney, Wang, Youchun, and Cao, Yunlong

Published
2024
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8. Quantum decoherence of dark pulses in optical microresonators

Author

Lao, Chenghao, Jin, Xing, Chang, Lin, Wang, Heming, Lv, Zhe, Xie, Weiqiang, Shu, Haowen, Wang, Xingjun, Bowers, John E, and Yang, Qi-Fan

Subjects
Quantum Physics, Atomic, Molecular and Optical Physics, Physical Sciences
Abstract

Quantum fluctuations disrupt the cyclic motions of dissipative Kerr solitons (DKSs) in nonlinear optical microresonators and consequently cause timing jitter of the emitted pulse trains. This problem is translated to the performance of several applications that employ DKSs as compact frequency comb sources. Recently, device manufacturing and noise reduction technologies have advanced to unveil the quantum properties of DKSs. Here we investigate the quantum decoherence of DKSs existing in normal-dispersion microresonators known as dark pulses. By virtue of the very large material nonlinearity, we directly observe the quantum decoherence of dark pulses in an AlGaAs-on-insulator microresonator, and the underlying dynamical processes are resolved by injecting stochastic photons into the microresonators. Moreover, phase correlation measurements show that the uniformity of comb spacing of quantum-limited dark pulses is better than 1.2 × 10-16 and 2.5 × 10-13 when normalized to the optical carrier frequencies and repetition frequencies, respectively. Comparing DKSs generated in different material platforms explicitly confirms the advantages of dark pulses over bright solitons in terms of quantum-limited coherence. Our work establishes a critical performance assessment of DKSs, providing guidelines for coherence engineering of chip-scale optical frequency combs.

Published
2023

28. Stochastic Dispatch of Energy Storage in Microgrids: An Augmented Reinforcement Learning Approach

Author

Shang, Yuwei, Wu, Wenchuan, Guo, Jianbo, Lv, Zhe, Ma, Zhao, Sheng, Wanxing, and Chen, Ran

Subjects
Electrical Engineering and Systems Science - Systems and Control
Abstract

The dynamic dispatch (DD) of battery energy storage systems (BESSs) in microgrids integrated with volatile energy resources is essentially a multiperiod stochastic optimization problem (MSOP). Because the life span of a BESS is significantly affected by its charging and discharging behaviors, its lifecycle degradation costs should be incorporated into the DD model of BESSs, which makes it non-convex. In general, this MSOP is intractable. To solve this problem, we propose a reinforcement learning (RL) solution augmented with Monte-Carlo tree search (MCTS) and domain knowledge expressed as dispatching rules. In this solution, the Q-learning with function approximation is employed as the basic learning architecture that allows multistep bootstrapping and continuous policy learning. To improve the computation efficiency of randomized multistep simulations, we employed the MCTS to estimate the expected maximum action values. Moreover, we embedded a few dispatching rules in RL as probabilistic logics to reduce infeasible action explorations, which can improve the quality of the data-driven solution. Numerical test results show the proposed algorithm outperforms other baseline RL algorithms in all cases tested.

Published
2019

33. Fluorescence temperature sensing based on thermally activated singlet-triplet intersystem crossing in crystalline anthracene

Author

Tang, Cheng, Zhu, Xiaojun, Song, Yunfei, Liu, Weilong, Yang, Qingxin, lv, Zhe, and Yang, Yanqiang

Subjects
Physics - Applied Physics
Abstract

The temperature dependence of the steady-state fluorescence spectrum of anthracene crystals range from 300K to 500K had been investigated, which was in the temperature range of most tabletop laser-driven shock wave experiments. The interesting finding is that the fluorescence intensity of the 2-0 transition increases more rapidly than other transitions with the rising temperature. In particular, the transition intensity ratios {\gamma}n all shows a perfect exponential increasing curve, which can be used for fluorescence temperature sensing. The analysis of sensitivity {\eta} and random uncertainty {\Delta}T has demonstrated that the intensity ratio {\gamma}2 is the best comprehensive performance physical quantity for temperature sensing. The theoretical analysis and experimental results demonstrated that unusual intensity increasing of 2-0 transition was originated from the second excited triplet state T2, which was thermally coupled with the first excited singlet sate S1. In a word, we established a new fluorescence temperature sensing method based on the intensity ratio and clarified the mechanism of this method was the thermally activated singlet-triplet intersystem crossing., Comment: 10 pages, 5figures

Published
2019
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46. Bacterial antigens and asthma: a comparative study of common respiratory pathogenic bacteria

Author

Pang, Jie, primary, Shi, Yifan, additional, Peng, Dan, additional, Cui, Lele, additional, Xu, Yingjie, additional, Wang, Wenjing, additional, Hu, Yue, additional, Yang, Yiran, additional, Wang, Jingjing, additional, Qin, Xiaofeng, additional, Zhang, Yue, additional, Meng, Hao, additional, Wang, Dan, additional, Bai, Ge, additional, Yuan, Huihui, additional, Liu, Jie, additional, Lv, Zhe, additional, Li, Yan, additional, Cui, Ye, additional, Wang, Wenjun, additional, Huang, Kewu, additional, Corrigan, Chris J, additional, Wang, Wei, additional, Chen, Yan, additional, and Ying, Sun, additional

Published
2024
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