Zobrazeno 1 - 10
of 753
pro vyhledávání: '"Fang Zhiwei"'
Autor:
Bao, Rui, Fang, Zhiwei, Liu, Jian, Liu, Zhaoxiang, Chen, Jinming, Wang, Min, Wu, Rongbo, Zhang, Haisu, Cheng, Ya
We demonstrate high-power thin film lithium niobate (TFLN) erbium-doped waveguide amplifier (EDWA) with a maximum on-chip output power of 113 mW and a gain of 16 dB. The on-chip integrated EDWA is composed of large mode area (LMA) waveguide structure
Externí odkaz:
http://arxiv.org/abs/2405.16583
Autor:
Han, Jinli, Bao, Rui, Wu, Rongbo, Liu, Zhaoxiang, Wang, Zhe, Sun, Chao, Zhang, Zhihao, Li, Mengqi, Fang, Zhiwei, Wang, Min, Zhang, Haisu, Cheng, Ya
Photonic integrated circuits based on erbium doped thin film lithium niobate on insulator has attracted broad interests with insofar various waveguide amplifiers and microlasers demonstrated. Wideband operation facilitated by the broadband absorption
Externí odkaz:
http://arxiv.org/abs/2401.05970
Autor:
Yang, Chen, Chen, Jin, Yu, Qian, Wu, Xiangdong, Ma, Kui, Zhao, Zihao, Fang, Zhiwei, Chen, Wenlong, Fan, Chaosheng, He, Jie, Peng, Changping, Lin, Zhangang, Shao, Jingping
Online recommenders have attained growing interest and created great revenue for businesses. Given numerous users and items, incremental update becomes a mainstream paradigm for learning large-scale models in industrial scenarios, where only newly ar
Externí odkaz:
http://arxiv.org/abs/2312.15903
Autor:
Yin, Congchi, Yu, Qian, Fang, Zhiwei, He, Jie, Peng, Changping, Lin, Zhangang, Shao, Jingping, Li, Piji
Recent major milestones have successfully decoded non-invasive brain signals (e.g. functional Magnetic Resonance Imaging (fMRI) and electroencephalogram (EEG)) into natural language. Despite the progress in model design, how to split the datasets for
Externí odkaz:
http://arxiv.org/abs/2312.10987
Autor:
Gao, Lang, Liang, Youting, Song, Lvbin, Yin, Difeng, Qi, Jia, Chen, Jinming, Liu, Zhaoxiang, Yu, Jianping, Liu, Jian, Zhang, Haisu, Fang, Zhiwei, Qi, Hongxin, Cheng, Ya
We report a thin-film lithium niobate electro-optic isolator fabricated by photolithography-assisted chemo-mechanical etching in this work. The device demonstrates 39.50 dB isolation when subjected to a 24 GHz microwave of 25.5 dBm on its electrodes.
Externí odkaz:
http://arxiv.org/abs/2311.12299
Recently deep learning surrogates and neural operators have shown promise in solving partial differential equations (PDEs). However, they often require a large amount of training data and are limited to bounded domains. In this work, we present a nov
Externí odkaz:
http://arxiv.org/abs/2308.12939
Autor:
Bao, Rui, Song, Lvbin, Fang, Zhiwei, Chen, Jinmin, Wang, Zhe, Liu, Jian, Gao, Lang, Liu, Zhaoxiang, Zhang, Zhihao, Wang, Min, Zhang, Haisu, Cheng, Ya
We demonstrate on-chip coherent beam combination of two waveguide amplifiers on Er$^{3+}$-doped thin film lithium niobate (Er: TFLN) platform. Our device is built based on an electro-optic modulator fabricated on Er: TFLN. The output power of the coh
Externí odkaz:
http://arxiv.org/abs/2308.08740
Autor:
Wang, Zhe, Fang, Zhiwei, Liu, Zhaoxiang, Liang, Youting, Liu, Jian, Yu, Jianping, Huang, Ting, Zhou, Yuan, Zhang, Haisu, Wang, Min, Cheng, Ya
We design an on-chip 8-channel TFLN AWG and fabricate the device using photolithography assisted chemo-mechanical etching (PLACE) technique. We experimentally measure the transmission of the fabricated TFLN AWG near the central wavelength of 1550 nm.
Externí odkaz:
http://arxiv.org/abs/2305.18059
Polygon and star modes enable unidirectional emission and single-frequency lasing in whispering gallery microcavities. To understand their properties and facilitate design, we have adopted both two-dimensional and three-dimensional full-wave perturba
Externí odkaz:
http://arxiv.org/abs/2305.05300
Autor:
Zheng, Yong, Zhong, Haozong, Zhang, Haisu, Wu, Rongbo, Liu, Jian, Liang, Youting, Song, Lvbin, Liu, Zhaoxiang, Chen, Jinming, Zhou, Junxia, Fang, Zhiwei, Wang, Min, Cheng, Ya
Programmable photonic circuits performing universal linear-optical transformations underpin vital functions in photonic quantum information processing, quantum-enhanced sensor networks, machine learning and many other intriguing applications. Recent
Externí odkaz:
http://arxiv.org/abs/2304.03461