My bibliography
Save this item
11 TOPS photonic convolutional accelerator for optical neural networks
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Bowen Bai & Qipeng Yang & Haowen Shu & Lin Chang & Fenghe Yang & Bitao Shen & Zihan Tao & Jing Wang & Shaofu Xu & Weiqiang Xie & Weiwen Zou & Weiwei Hu & John E. Bowers & Xingjun Wang, 2023. "Microcomb-based integrated photonic processing unit," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
- Chenduan Chen & Zhan Yang & Tao Wang & Yalun Wang & Kai Gao & Jiajia Wu & Jun Wang & Jianrong Qiu & Dezhi Tan, 2024. "Ultra-broadband all-optical nonlinear activation function enabled by MoTe2/optical waveguide integrated devices," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
- Wen Zhou & Bowei Dong & Nikolaos Farmakidis & Xuan Li & Nathan Youngblood & Kairan Huang & Yuhan He & C. David Wright & Wolfram H. P. Pernice & Harish Bhaskaran, 2023. "In-memory photonic dot-product engine with electrically programmable weight banks," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
- Han Zhao & Bingzhao Li & Huan Li & Mo Li, 2022. "Enabling scalable optical computing in synthetic frequency dimension using integrated cavity acousto-optics," Nature Communications, Nature, vol. 13(1), pages 1-7, December.
- Xiangyan Meng & Guojie Zhang & Nuannuan Shi & Guangyi Li & José Azaña & José Capmany & Jianping Yao & Yichen Shen & Wei Li & Ninghua Zhu & Ming Li, 2023. "Compact optical convolution processing unit based on multimode interference," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
- Xuguang Zhang & Zixuan Zhou & Yijun Guo & Minxue Zhuang & Warren Jin & Bitao Shen & Yujun Chen & Jiahui Huang & Zihan Tao & Ming Jin & Ruixuan Chen & Zhangfeng Ge & Zhou Fang & Ning Zhang & Yadong Liu, 2024. "High-coherence parallelization in integrated photonics," Nature Communications, Nature, vol. 15(1), pages 1-9, December.
- Yang He & Raymond Lopez-Rios & Usman A. Javid & Jingwei Ling & Mingxiao Li & Shixin Xue & Kerry Vahala & Qiang Lin, 2023. "High-speed tunable microwave-rate soliton microcomb," Nature Communications, Nature, vol. 14(1), pages 1-7, December.
- Chen-Guang Wang & Wuyue Xu & Chong Li & Lili Shi & Junliang Jiang & Tingting Guo & Wen-Cheng Yue & Tianyu Li & Ping Zhang & Yang-Yang Lyu & Jiazheng Pan & Xiuhao Deng & Ying Dong & Xuecou Tu & Sining , 2024. "Integrated and DC-powered superconducting microcomb," Nature Communications, Nature, vol. 15(1), pages 1-7, December.
- Zhongjin Lin & Bhavin J. Shastri & Shangxuan Yu & Jingxiang Song & Yuntao Zhu & Arman Safarnejadian & Wangning Cai & Yanmei Lin & Wei Ke & Mustafa Hammood & Tianye Wang & Mengyue Xu & Zibo Zheng & Moh, 2024. "120 GOPS Photonic tensor core in thin-film lithium niobate for inference and in situ training," Nature Communications, Nature, vol. 15(1), pages 1-10, December.
- Arkadev Roy & Luis Ledezma & Luis Costa & Robert Gray & Ryoto Sekine & Qiushi Guo & Mingchen Liu & Ryan M. Briggs & Alireza Marandi, 2023. "Visible-to-mid-IR tunable frequency comb in nanophotonics," Nature Communications, Nature, vol. 14(1), pages 1-7, December.
- Ming Deng & Michele Cotrufo & Jian Wang & Jianji Dong & Zhichao Ruan & Andrea Alù & Lin Chen, 2024. "Broadband angular spectrum differentiation using dielectric metasurfaces," Nature Communications, Nature, vol. 15(1), pages 1-10, December.
- Liuting Shan & Qizhen Chen & Rengjian Yu & Changsong Gao & Lujian Liu & Tailiang Guo & Huipeng Chen, 2023. "A sensory memory processing system with multi-wavelength synaptic-polychromatic light emission for multi-modal information recognition," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
- Cansu Demirkiran & Lakshmi Nair & Darius Bunandar & Ajay Joshi, 2024. "A blueprint for precise and fault-tolerant analog neural networks," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
- G. Mourgias-Alexandris & M. Moralis-Pegios & A. Tsakyridis & S. Simos & G. Dabos & A. Totovic & N. Passalis & M. Kirtas & T. Rutirawut & F. Y. Gardes & A. Tefas & N. Pleros, 2022. "Noise-resilient and high-speed deep learning with coherent silicon photonics," Nature Communications, Nature, vol. 13(1), pages 1-7, December.
- Xuan-Kun Li & Jian-Xu Ma & Xiang-Yu Li & Jun-Jie Hu & Chuan-Yang Ding & Feng-Kai Han & Xiao-Min Guo & Xi Tan & Xian-Min Jin, 2024. "High-efficiency reinforcement learning with hybrid architecture photonic integrated circuit," Nature Communications, Nature, vol. 15(1), pages 1-10, December.
- Xiaoyun Yuan & Yong Wang & Zhihao Xu & Tiankuang Zhou & Lu Fang, 2023. "Training large-scale optoelectronic neural networks with dual-neuron optical-artificial learning," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
- Yiwei Li & Ning An & Zheyi Lu & Yuchen Wang & Bing Chang & Teng Tan & Xuhan Guo & Xizhen Xu & Jun He & Handing Xia & Zhaohui Wu & Yikai Su & Yuan Liu & Yunjiang Rao & Giancarlo Soavi & Baicheng Yao, 2022. "Nonlinear co-generation of graphene plasmons for optoelectronic logic operations," Nature Communications, Nature, vol. 13(1), pages 1-7, December.
- Saket Kaushal & A. Aadhi & Anthony Roberge & Roberto Morandotti & Raman Kashyap & José Azaña, 2023. "All-fibre phase filters with 1-GHz resolution for high-speed passive optical logic processing," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
- Guangwei Cong & Noritsugu Yamamoto & Takashi Inoue & Yuriko Maegami & Morifumi Ohno & Shota Kita & Shu Namiki & Koji Yamada, 2022. "On-chip bacterial foraging training in silicon photonic circuits for projection-enabled nonlinear classification," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
- Jingwei Ling & Zhengdong Gao & Shixin Xue & Qili Hu & Mingxiao Li & Kaibo Zhang & Usman A. Javid & Raymond Lopez-Rios & Jeremy Staffa & Qiang Lin, 2024. "Electrically empowered microcomb laser," Nature Communications, Nature, vol. 15(1), pages 1-8, December.
- Shaofu Xu & Jing Wang & Sicheng Yi & Weiwen Zou, 2022. "High-order tensor flow processing using integrated photonic circuits," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
- Mitsumasa Nakajima & Katsuma Inoue & Kenji Tanaka & Yasuo Kuniyoshi & Toshikazu Hashimoto & Kohei Nakajima, 2022. "Physical deep learning with biologically inspired training method: gradient-free approach for physical hardware," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
- Wenting Wang & Ping-Keng Lu & Abhinav Kumar Vinod & Deniz Turan & James F. McMillan & Hao Liu & Mingbin Yu & Dim-Lee Kwong & Mona Jarrahi & Chee Wei Wong, 2022. "Coherent terahertz radiation with 2.8-octave tunability through chip-scale photomixed microresonator optical parametric oscillation," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
- Liangliang Min & Haoxuan Sun & Linqi Guo & Meng Wang & Fengren Cao & Jun Zhong & Liang Li, 2024. "Frequency-selective perovskite photodetector for anti-interference optical communications," Nature Communications, Nature, vol. 15(1), pages 1-10, December.
- Bitao Shen & Haowen Shu & Weiqiang Xie & Ruixuan Chen & Zhi Liu & Zhangfeng Ge & Xuguang Zhang & Yimeng Wang & Yunhao Zhang & Buwen Cheng & Shaohua Yu & Lin Chang & Xingjun Wang, 2023. "Harnessing microcomb-based parallel chaos for random number generation and optical decision making," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
- Junwei Cheng & Chaoran Huang & Jialong Zhang & Bo Wu & Wenkai Zhang & Xinyu Liu & Jiahui Zhang & Yiyi Tang & Hailong Zhou & Qiming Zhang & Min Gu & Jianji Dong & Xinliang Zhang, 2024. "Multimodal deep learning using on-chip diffractive optics with in situ training capability," Nature Communications, Nature, vol. 15(1), pages 1-10, December.