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| 1 | Thermal effect analysis of silicon microring optical switch for on-chip interconnect显示文摘The silicon microring resonator plays an important role in large-scale,high-integrability modern switching matrixes and optical networks,as silicon photonics enables ring resonators of an unprecedented compact size.But as the nature of resonators is their sensitivity to temperature,their performances are vulnerable to being affected by thermal effect.In this paper,we analyze the dominant thermal effects to the application of silicon microring optical switch.On the one hand we theoretically analyze and experimentally measure the thermal crosstalk among adjacent microring optical switches with different distances,and give possible solutions to minimize the affect of thermal crosstalk.On the other hand we analyze and measure the thermooptic dynamic response of microring switch;the experiment shows for the thermal-tuning that the rising edge is around 2/is,and the falling edge is around 35 μs.We give the explanation of the asymmetric rise-time and fall-time. | Xiongfeng Fang Lin Yang | 2017 | Journal of Semiconductors2017，38，10： | 1 |
| 2 | Faster RCNN Target Detection Algorithm Integrating CBAM and FPN显示文摘Small targets and occluded targets will inevitably appear in the image during the shooting process due to the influence of angle,distance,complex scene,illumination intensity,and other factors.These targets have few effective pixels,few features,and no apparent features,which makes extracting their efficient features difficult and easily leads to false detection,missed detection,and repeated detection,affecting the performance of target detection models.An improved faster region convolutional neural network(RCNN)algorithm(CF-RCNN)integrating convolutional block attention module(CBAM)and feature pyramid networks(FPN)is proposed to improve the detection and recognition accuracy of small-size objects,occluded or truncated objects in complex scenes.Firstly,the CBAM mechanism is integrated into the feature extraction network to improve the detection ability of occluded or truncated objects.Secondly,the FPN-featured pyramid structure is introduced to obtain high-resolution and vital semantic data to enhance the detection effect of small-size objects.The experimental results show that the mean average precision of target detection of the improved algorithm on PASCAL VOC2012 is improved to 76.1%,which is 13.8 percentage points higher than that of the commonly used Faster RCNN and other algorithms.Furthermore,it is better than the commonly used small sample target detection algorithm. | Wenshun Sheng Xiongfeng Yu Jiayan Lin Xin Chen | 2023 | Computer Systems Science & Engineering2023，47，11： | 1 |
| 3 | Experimental exploration of five-qubit quantum error-correcting code with superconducting qubits显示文摘Quantum error correction is an essential ingredient for universal quantum computing.D espite tremendous experimental efforts in the study of quantum error correction,to date,there has been no demonstration in the realis ation of universal quantum error-correcting code,with the subsequent verification of all key features including the identification of an arbitrary physical error,the capability for transversal manipulation of the logical state and state decoding.To address this challenge,we experimentally realise the [5,1,3]code,the so-called smallest perfect code that permits corrections of generic single-qubit errors.In the experiment,having optimised the encoding circuit,we employ an array of superconducting qubits to realise the [5,1,3] code for several typical logical states including the magic state,an indispensable resource for realising non-Clifford gates.The encoded states are prepared with an average fidelity of 57.1(3)% while with a high fidelity of 98.6(1)% in the code space.Then,the arbitrary single-qubit errors introduced manually are identified by measuring the stabilisers.We further implement logical Pauli operations with a fidelity of 97.2(2)% within the code space.Finally,we realise the decoding circuit and recover the input state with an overall fidelity of 74.5(6)%,in total with 92 gates.Our work demonstrates each key aspect of the [5,1,3] code and verifies the viability of experimental realisation of quantum error-correcting codes with superconducting qubits. | Ming Gong Xiao Yuan Shiyu Wang Yulin Wu Youwei Zhao Chen Zha Shaowei Li Zhen Zhang Qi Zhao Yunchao Liu Futian Liang Jin Lin Yu Xu Hui Deng Hao Rong He Lu Simon C.Benjamin Cheng-Zhi Peng Xiongfeng Ma Yu-Ao Chen Xiaobo Zhu Jian-Wei Pan | 2022 | National Science Review2022，9，1： | 1 |
| 4 | Solution-processed quantum-dot light-emitting diodes combining ultrahigh operational stability,shelf stability,and luminance显示文摘The shelf-stability issue,originating from the ZnO-induced positive aging effect,poses a significant challenge to industrializing the display technology based on solution-processed quantum-dot light-emitting diodes(QLEDs).Currently,none of the proposed solutions can simultaneously inhibit exciton quenching caused by the ZnO-based electron-transporting layer(ETL)and retain other advantages of ZnO.Here in this work,we propose a bilayer design of ETL in which a buffer layer assembled of SnO_(2) nanoparticles(NPs)suppresses the QD-ETL exciton quenching and tunes charge balance while ZnO NPs provide high electron conductivity.As a result,the bottom-emitting QLED combining capped ZnO and SnO_(2) buffer exhibit a maximum luminance over 100,000 cd m^(−2) and a T95 operational lifetime averaging 6200 h at 1000 cd m^(−2) on the premise of entirely inhibiting positive aging. | Zi Ye Mengyu Chen Xingtong Chen Wenchen Ma Xiaojuan Sun Longjia Wu Xiongfeng Lin Yu Chen Song Chen | 2022 | npj Flexible Electronics2022，6，1： | 0 |
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