|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | An improved artificial bee colony algorithm for steelmaking–refining–continuous casting scheduling problem显示文摘Steelmaking–refining–Continuous Casting(SCC) scheduling is a worldwide problem, which is NP-hard. Effective SCC scheduling algorithms can help to enhance productivity, and thus make significant monetary savings. This paper develops an Improved Artificial Bee Colony(IABC) algorithm for the SCC scheduling. In the proposed IABC, charge permutation is employed to represent the solutions. In the population initialization, several solutions with certain quality are produced by a heuristic while others are generated randomly. Two variable neighborhood search neighborhood operators are devised to generate new high-quality solutions for the employed bee and onlooker bee phases, respectively. Meanwhile, in order to enhance the exploitation ability, a control parameter is introduced to conduct the search of onlooker bee phase. Moreover, to enhance the exploration ability,the new generated solutions are accepted with a control acceptance criterion. In the scout bee phase, the solution corresponding to a scout bee is updated by performing three swap operators and three insert operators with equal probability. Computational comparisons against several recent algorithms and a state-of-the-art SCC scheduling algorithm have demonstrated the strength and superiority of the IABC. | Kunkun Peng Quanke Pan Biao Zhang | 2018 | Chinese Journal of Chemical Engineering2018，26，8： | 11 |
| 2 | Experimental realization of a quantum image classifier via tensor-network-based machine learning显示文摘Quantum machine learning aspires to overcome intractability that currently limits its applicability to practical applications.However,quantum machine learning itself is limited by low effective dimensions achievable in stateof-the-art experiments.Here,we demonstrate highly successful classifications of real-life images using photonic qubits,combining a quantum tensor-network representation of hand-written digits and entanglement-based optimization.Specifically,we focus on binary classification for hand-written zeroes and ones,whose features are cast into the tensor-network representation,further reduced by optimization based on entanglement entropy and encoded into two-qubit photonic states.We then demonstrate image classification with a high success rate exceeding 98%,through successive gate operations and projective measurements.Although we work with photons,our approach is amenable to other physical realizations such as nitrogen-vacancy centers,nuclear spins,and trapped ions,and our scheme can be scaled to efficient multi-qubit encodings of features in the tensor-product representation,thereby setting the stage for quantum-enhanced multi-class classification. | KUNKUN WANG LEI XIAO WEI YI SHI-JU RAN PENG XUE | 2021 | Photonics Research2021，9，12： | 2 |
| 3 | Characterization of three H5N5 and one H5N8 highly pathogenic avian influenza viruses in China显示文摘 | Kunkun Zhao Min Gu Lei Zhong Zhiqiang Duan Yan Zhang Yanmei Zhu Guo Zhao Mingjun Zhao Zhaoyang Chen Shunlin Hu Wenbo Liu Xiaowen Liu Daxin Peng Xiufan Liu | 2013 | Veterinary Microbiology (-)2013，，3： | 1 |
| 4 | Experimental witnessing for entangled states with limited local measurements显示文摘We experimentally demonstrate a method for detection of entanglement via construction of entanglement witnesses from a limited fixed set of local measurements(M).Such a method does not require a priori knowledge about the form of the entanglement witnesses.It is suitable for a scenario where a full state tomography is not available,but the only resource is a limited set of M.We demonstrate the method on pure two-qubit entangled states and mixed two-qubit entangled states,which emerge from photonic implementation of controllable quantum noisy channels.The states we select are motivated by realistic experimental conditions,and we confirm it works well for both cases.Furthermore,possible generalizations to higher-dimensional bipartite systems have been considered,which can potentially detect both decomposable and indecomposable entanglement witnesses.Our experimental results show perfect validity of the method,which indicates that even a limited set of local measurements can be used for quick entanglement detection and further provide a practical test bed for experiments with entanglement witnesses. | GAOYAN ZHU CHENGJIE ZHANG KUNKUN WANG LEI XIAO PENG XUE | 2022 | Photonics Research2022，10，9： | 0 |
| 5 | Observation of dark edge states in parity-time-symmetric quantum dynamics显示文摘Topological edge states arise in non-Hermitian parity-time(PT)-symmetric systems, and manifest themselves as bright or dark edge states, depending on the imaginary components of their eigenenergies. As the spatial probabilities of dark edge states are suppressed during the non-unitary dynamics, it is a challenge to observe them experimentally. Here we report the experimental detection of dark edge states in photonic quantum walks with spontaneously broken PT symmetry, thus providing a complete description of the topological phenomena therein. We experimentally confirm that the global Berry phase in PT-symmetric quantum-walk dynamics unambiguously defines topological invariants of the system in both the PT-symmetry-unbroken and-broken regimes. Our results establish a unified framework for characterizing topology in PT-symmetric quantum-walk dynamics, and provide a useful method to observe topological phenomena in PT-symmetric non-Hermitian systems in general. | Peng Xue Xingze Qiu Kunkun Wang Barry CSanders Wei Yi | 2023 | National Science Review2023，10，8： | 0 |
| 6 | Unique strengthening mechanisms of ultrahigh pressure Mg alloys显示文摘Ultrahigh pressure technique remarkably extends solid solubility limitation of Al alloying element(~25 at.%)in Mg alloys,resulting in unique solid-solution strengthening and age hardening response.Microhardness,yield strength and ultimate compressive strength are improved simultaneously without degrading plasticity by forming homogeneous and globular-shaped Mg17Al12 precipitates of 10e30 nm.In addition,thermal resistance is enhanced by eliminating the dominant growth of(101)plane and anchoring dense stacking faults in phase interface. | Bingcheng Ge Hui Fu Kunkun Deng Qingrui Zhang Qiuming Peng | 2018 | Bioactive Materials2018，3，3： | 0 |
| 7 | A novel vision-based multi-task robotic grasp detection method for multi-object scenes显示文摘Grasping a specified object from multi-object scenes is an essential ability for intelligent robots.This ability depends on the affiliation between the grasp position and the object category.Most existing multi-object grasp detection methods considering the affiliation rely on object detection results,thus limiting the improvement of robotic grasp detection accuracy.This paper proposes a decoupled single-stage multitask robotic grasp detection method based on the Faster R-CNN framework for multi-object scenes.The designed network independently detects the category of an object and its possible grasp positions by using one loss function.A new grasp matching strategy is designed to determine the relationship between object categories and predicted grasp positions.The VMRD grasp dataset is used to test the performance of the proposed method.Compared with other grasp detection methods,the proposed method achieves higher object detection accuracy and grasp detection accuracy. | Yanan SONG Liang GAO Xinyu LI Weiming SHEN Kunkun PENG | 2022 | Science China(Information Sciences)2022，65，12： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员