Zobrazeno 1 - 10
of 2 055
pro vyhledávání: '"Lin, Xing"'
Autor:
Chen, Hang, Gao, Sheng, Zhao, Zejia, Duan, Zhengyang, Zhang, Haiou, Wetzstein, Gordon, Lin, Xing
Optical super-oscillation enables far-field super-resolution imaging beyond diffraction limits. However, the existing super-oscillatory lens for the spatial super-resolution imaging system still confronts critical limitations in performance due to th
Externí odkaz:
http://arxiv.org/abs/2406.19126
Autor:
Zheng, Yizhen, Lin, Xing, Li, Jiongzhao, Chen, Jianan, Song, Zixuan, Gao, Yuan, Wang, Huifeng, Ye, Zikang, Qin, Haiyan, Peng, Xiaogang
Lighting and display, relying on electric and optical down-conversion emission with sluggish power efficiency, account for >15% global electricity consumption1,2. In 2014, quantum-dot (QD) LEDs (QLEDs) with near-optimal external quantum efficiency em
Externí odkaz:
http://arxiv.org/abs/2406.09730
Autor:
Lin, Xing, Wang, Rong
Quantum random number generator harnesses the power of quantum mechanics to generate true random numbers, making it valuable for various scientific applications. However, real-world devices often suffer from imperfections that can undermine the integ
Externí odkaz:
http://arxiv.org/abs/2312.03333
Autor:
Liu, Yi-Feng, Ren, Rui-Yao, Hou, Dai-Bao, Weng, Hai-Zhong, Wang, Bo-Wen, Huang, Ke-Jie, Lin, Xing, Liu, Feng, Li, Chen-Hui, Jin, Chao-Yuan
Publikováno v:
Liu YF, Ren RY, Hou DB, Weng HZ, Wang BW, Huang KJ, Lin X, Liu F, Li CH, Jin CY. Slimmed Optical Neural Networks with Multiplexed Neuron Sets and a Corresponding Backpropagation Training Algorithm. Intell. Comput. 2024;3:Article 0070
Due to their intrinsic capabilities on parallel signal processing, optical neural networks (ONNs) have attracted extensive interests recently as a potential alternative to electronic artificial neural networks (ANNs) with reduced power consumption an
Externí odkaz:
http://arxiv.org/abs/2308.14015
Autor:
Chen, Chen, Yan, Jun-Yong, Babin, Hans-Georg, Wang, Jiefei, Xu, Xingqi, Lin, Xing, Yu, Qianqian, Fang, Wei, Liu, Run-Ze, Huo, Yong-Heng, Cai, Han, Sha, Wei E. I., Zhang, Jiaxiang, Heyn, Christian, Wieck, Andreas D., Ludwig, Arne, Wang, Da-Wei, Jin, Chao-Yuan, Liu, Feng
The construction of a large-scale quantum internet requires quantum repeaters containing multiple entangled photon sources with identical wavelengths. Semiconductor quantum dots can generate entangled photon pairs deterministically with high fidelity
Externí odkaz:
http://arxiv.org/abs/2308.04744
Autor:
Jing Zhang, Yan-Ge Li, Hao-Ting Sun, Ding-Ding Zuo, Yang Qiao, Rui Sun, Jia-Lin Xing, Zhong-Hou Zhu, Xue-Jie Zhu, Da-Long Guo
Publikováno v:
Chemical and Biological Technologies in Agriculture, Vol 11, Iss 1, Pp 1-18 (2024)
Abstract Background Sterol side-chain reductase 2 (SSR2) is a key enzyme in the synthesis of plant cholesterol pathway. Despite the importance of watermelon as a horticultural cash crop, the SSR2 gene in watermelon has not been previously studied or
Externí odkaz:
https://doaj.org/article/3c6f14b2c40b47a2bb2f7dd284e94c13
Autor:
Yan, Jun-Yong, Chen, Chen, Zhang, Xiao-Dong, Wang, Yu-Tong, Babin, Hans-Georg, Wieck, Andreas D., Ludwig, Arne, Meng, Yun, Hu, Xiaolong, Duan, Huali, Chen, Wenchao, Fang, Wei, Cygorek, Moritz, Lin, Xing, Wang, Da-Wei, Jin, Chao-Yuan, Liu, Feng
Coherently driven semiconductor quantum dots are one of the most promising platforms for non-classical light sources and quantum logic gates which form the foundation of photonic quantum technologies. However, to date, coherent manipulation of single
Externí odkaz:
http://arxiv.org/abs/2212.10749
Autor:
Yan, Tao, Zhang, Maoqi, Wan, Sen, Shang, Kaifeng, Zhang, Haiou, Cao, Xun, Lin, Xing, Dai, Qionghai
Electroencephalography (EEG) analysis extracts critical information from brain signals, which has provided fundamental support for various applications, including brain-disease diagnosis and brain-computer interface. However, the real-time processing
Externí odkaz:
http://arxiv.org/abs/2301.10167
Autor:
Zheng, Ziyang, Duan, Zhengyang, Chen, Hang, Yang, Rui, Gao, Sheng, Zhang, Haiou, Xiong, Hongkai, Lin, Xing
Photonic neural network (PNN) is a remarkable analog artificial intelligence (AI) accelerator that computes with photons instead of electrons to feature low latency, high energy efficiency, and high parallelism. However, the existing training approac
Externí odkaz:
http://arxiv.org/abs/2212.06141
Photonic neural networks are brain-inspired information processing technology using photons instead of electrons to perform artificial intelligence (AI) tasks. However, existing architectures are designed for a single task but fail to multiplex diffe
Externí odkaz:
http://arxiv.org/abs/2212.00022