Hongsheng Chen

Dr. Hongsheng Chen

College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, Zhejiang Province, China

Research Focus & Metrics

Academic Career Length

28Years (1999-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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3 February 2022 in Light: Science & Applications
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Journal Article
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HZHailong Zhou
Hailong Zhou
JDJianji DONG
Jianji DONG
JCJunwei Cheng
Junwei Cheng
WDWenchan Dong
Wenchan Dong
CHChaoran Huang
Chaoran Huang
XZXinliang Zhang
Xinliang Zhang
Matrix computation, as a fundamental building block of information processing in science and technology, contributes most of the computational overheads in modern signal processing and artificial intelligence algorithms. Photonic accelerators are designed to accelerate specific categories of computing in the optical domain, especially matrix multiplication, to address the growing demand for computing resources and capacity. Photonic matrix multiplication has much potential to expand the domain of telecommunication, and artificial intelligence benefiting from its superior performance. Recent research in photonic matrix multiplication has flourished and may provide opportunities to develop applications that are unachievable at present by conventional electronic processors. In this review, we first introduce the methods of photonic matrix multiplication, mainly including the plane light conversion method, Mach–Zehnder interferometer method and wavelength division multiplexing method. We also summarize the developmental milestones of photonic matrix multiplication and the related applications. Then, we review their detailed advances in applications to optical signal processing and artificial neural networks in recent years. Finally, we comment on the challenges and perspectives of photonic matrix multiplication and photonic acceleration.

23 March 2020 in Nature Photonics
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CQChao Qian
Chao Qian
Bin ZhengBin Zheng
Bin Zheng
YSYichen Shen
Yichen Shen
LJLi Jing
Li Jing
ELErping Li
Erping Li
Hongsheng ChenHongsheng Chen
Hongsheng Chen

2 November 2021 in Nature Communications
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Journal Article
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LZLi Zhang
Li Zhang
Yihao YangYihao Yang
Yihao Yang
YGYong Ge
Yong Ge
YGYi-Jun Guan
Yi-Jun Guan
QCQiaolu Chen
Qiaolu Chen
BZBaile Zhang
Baile Zhang
The recently discovered non-Hermitian skin effect (NHSE) manifests the breakdown of current classification of topological phases in energy-nonconservative systems, and necessitates the introduction of non-Hermitian band topology. So far, all NHSE observations are based on one type of non-Hermitian band topology, in which the complex energy spectrum winds along a closed loop. As recently characterized along a synthetic dimension on a photonic platform, non-Hermitian band topology can exhibit almost arbitrary windings in momentum space, but their actual phenomena in real physical systems remain unclear. Here, we report the experimental realization of NHSE in a one-dimensional (1D) non-reciprocal acoustic crystal. With direct acoustic measurement, we demonstrate that a twisted winding, whose topology consists of two oppositely oriented loops in contact rather than a single loop, will dramatically change the NHSE, following previous predictions of unique features such as the bipolar localization and the Bloch point for a Bloch-wave-like extended state. This work reveals previously unnoticed features of NHSE, and provides the observation of physical phenomena originating from complex non-Hermitian winding topology.

9 January 2019 in Nature
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Journal Article
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YYYihao Yang
Yihao Yang
ZGZhen Gao
Zhen Gao
HXHaoran Xue
Haoran Xue
LZLi Zhang
Li Zhang
MHMengjia He
Mengjia He
Hongsheng ChenHongsheng Chen
Hongsheng Chen

13 April 2020 in Light: Science & Applications
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CQChao Qian
Chao Qian
XLXiao Lin
Xiao Lin
XLXiaobin Lin
Xiaobin Lin
JXJian Xu
Jian Xu
YSYang Sun
Yang Sun
Hongsheng ChenHongsheng Chen
Hongsheng Chen
Optical logic operations lie at the heart of optical computing, and they enable many applications such as ultrahigh-speed information processing. However, the reported optical logic gates rely heavily on the precise control of input light signals, including their phase difference, polarization, and intensity and the size of the incident beams. Due to the complexity and difficulty in these precise controls, the two output optical logic states may suffer from an inherent instability and a low contrast ratio of intensity. Moreover, the miniaturization of optical logic gates becomes difficult if the extra bulky apparatus for these controls is considered. As such, it is desirable to get rid of these complicated controls and to achieve full logic functionality in a compact photonic system. Such a goal remains challenging. Here, we introduce a simple yet universal design strategy, capable of using plane waves as the incident signal, to perform optical logic operations via a diffractive neural network. Physically, the incident plane wave is first spatially encoded by a specific logic operation at the input layer and further decoded through the hidden layers, namely, a compound Huygens’ metasurface. That is, the judiciously designed metasurface scatters the encoded light into one of two small designated areas at the output layer, which provides the information of output logic states. Importantly, after training of the diffractive neural network, all seven basic types of optical logic operations can be realized by the same metasurface. As a conceptual illustration, three logic operations (NOT, OR, and AND) are experimentally demonstrated at microwave frequencies.

13 July 2020 in Nature Materials
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MCMingyuan Chen
Mingyuan Chen
XLXiao Lin
Xiao Lin
TDThao H. Dinh
Thao H. Dinh
ZZZhiren Zheng
Zhiren Zheng
JSJialiang Shen
Jialiang Shen
SDSiyuan Dai
Siyuan Dai