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您的检索式：作者名="Xiuting ZOU"
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| 1 | Deep-learning-powered photonic analogto-digital conversion显示文摘Analog-to-digital converters(ADCs)must be high speed,broadband,and accurate for the development of modern information systems,such as radar,imaging,and communications systems;photonic technologies are regarded as promising technologies for realizing these advanced requirements.Here,we present a deep-learning-powered photonic ADC architecture that simultaneously exploits the advantages of electronics and photonics and overcomes the bottlenecks of the two technologies,thereby overcoming the ADC tradeoff among speed,bandwidth,and accuracy.Via supervised training,the adopted deep neural networks learn the patterns of photonic system defects and recover the distorted data,thereby maintaining the high quality of the electronic quantized data succinctly and adaptively.The numerical and experimental results demonstrate that the proposed architecture outperforms state-ofthe-art ADCs with developable high throughput;hence,deep learning performs well in photonic ADC systems.We anticipate that the proposed architecture will inspire future high-performance photonic ADC design and provide opportunities for substantial performance enhancement for the next-generation information systems. | Shaofu Xu Xiuting Zou Bowen Ma Jianping Chen Lei Yu Weiwen Zou | 2019 | Light(Science & Applications)2019，8，1： | 8 |
| 2 | Towards an intelligent photonic system显示文摘The emerging intelligence technologies represented by deep learning have broadened their applications to various fields.Beyond the conventional electronics-based processing systems,the convergence of photonics and artificial intelligence(AI)technology enhances the performance and learning ability of AI.In this review,we propose the concept of an intelligent photonic system(IPS),illustrating it as a developing architecture with three different versions.For each version of IPS,we review several representative studies.Moreover we discuss the challenges towards an IPS and provide some prospects for the future development. | Weiwen ZOU Bowen MA Shaofu XU Xiuting ZOU Xingjun WANG | 2020 | Science China(Information Sciences)2020，63，6： | 3 |
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