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Long-Distance Entanglement Purification for Quantum communication

Physical Review Letters 2021年第1期126卷 010503-010503页

作者： Xiao-Min Hu Cen-Xiao Huang Yu-Bo Sheng Lan Zhou Bi-Heng Liu Yu Guo Chao Zhang Wen-Bo Xing Yun-Feng Huang Chuan-Feng Li Guang-Can Guo CAS Key Laboratory of Quantum Information University of Science and Technology of China Hefei 230026 People’s Republic of China CAS Center For Excellence in Quantum Information and Quantum Physics University of Science and Technology of China Hefei 230026 People’s Republic of China Institute of Quantum Information and Technology Nanjing University of Posts and Telecommunications Nanjing 210003 People’s Republic of China School of Science Nanjing University of Posts and Telecommunications Nanjing 210003 People’s Republic of China Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Ministry of Education Nanjing 210003 People’s Republic of China

High-quality long-distance entanglement is essential for both quantum communication and scalable quantum networks. Entanglement purification is to distill high-quality entanglement from low-quality entanglement in a noisy environment and it plays a key role in quantum repeaters. The previous significant entanglement purification experiments require two pairs of low-quality entangled states and were demonstrated in tabletop. Here we propose and report a high-efficiency and long-distance entanglement purification using only one pair of hyperentangled state. We also demonstrate its practical application in entanglement-based quantum key distribution (QKD). One pair of polarization spatial-mode hyperentanglement was distributed over 11 km multicore fiber (noisy channel). After purification, the fidelity of polarization entanglement arises from 0.771 to 0.887 and the effective key rate in entanglement-based QKD increases from 0 to 0.332. The values of Clauser-Horne-Shimony-Holt inequality of polarization entanglement arises from 1.829 to 2.128. Moreover, by using one pair of hyperentanglement and deterministic controlled-NOT gates, the total purification efficiency can be estimated as 6.6×103 times than the experiment using two pairs of entangled states with spontaneous parametric down-conversion sources. Our results offer the potential to be implemented as part of a full quantum repeater and large-scale quantum network.

关键词： Entanglement manipulation Optical quantum information processing Quantum communication Quantum optics Quantum protocols

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Energy-optimized 5G dual connectivity radio resource allocation 2

Energy-optimized 5G dual connectivity radio resource allocat...

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2nd IEEE International Conference on Electronics technology, ICET 2019

作者： Ying, Guo Qingmin, Meng Xiaoming, Wang Ministry of Education College of Telecommunications Information Engineering Key Laboratory of Broadband Wireless Communication and Sensor Network Technology Nanjing210003 China National Mobile Communications Research Lab Southeast University Nanjing210096 China

ISBN: (纸本)9781728116181

Non-independent networking of 5G NSA (Non-Standalone) is receiving wide attention. This paper considers an NSA architecture in which a 4G base station is used as the primary station and a newly deployed 5G base station is used as the secondary station. Machine-type communication and vehicle networking applications place stringent requirements on end-to-end delay of 5G NSA like systems. Due to limited computing power, part of the terminal data needs to be uploaded to the edge cloud to perform intensive calculations. An optimized radio resource allocation scheme is proposed for dual connectivity transmission under 5G NSA. Second, the relevant handover strategies are also evaluated. Computer simulation results show that compared with single-connection transmission, dual-connection transmission can significantly improve the energy consumption performance of the transmission scheme under a time delay constraint. © 2019 IEEE.

关键词： Mobile edge computing

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Arbitrary-Oriented Ship Detection Based on Feature Filter and KL Loss

Arbitrary-Oriented Ship Detection Based on Feature Filter an...

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International Conference on Wireless communications and Signal Processing (WCSP)

作者： Chen Li Lei Wang Bin Kang Mingkai Chen Jingwu Cui Baoyu Zheng Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Ministry of Education China National and Local Joint Engineering Laboratory of RF Integration and Micro-Assembly Technology Nanjing University of Posts and Telecommunications China

ISBN: (数字)9781728172361

ISBN: (纸本)9781728172378

Although deep learning has been dominant in the field of target detection, there are still some challenges in the field of detection of ships: horizontal boundary box contains too much redundancy and noise in the scene of large scale and dense arrangement of ships, and there are many interferences in remote sensing optical images that affect the bounding box regression. Recent neural network for ship detection is generally used to extract the pixel information in the image to achieve rapid positioning and boundary box regression, or to process the dataset, so as to train a more robust network. However, these methods do not focus on the original feature map and loss functions of the target, which directly lead to the effects of ship positioning and regression. In this paper, we propose a ship detection network based on feature filter and Kullback-Leibler (KL) divergence loss function. In this paper, we propose to use mask filters on the output of the region of interest (ROI) network to remove the noise around the rotating bounding box, which is conducive to the regression of the rotating bounding box and angle in the second stage. In order to get a better bounding box, we propose to use KL loss function for regression of bounding box parameters. With the optimization of KL loss, the bounding box can better surround the ship. We carried out experiments on our own remote sensing ship image dataset for ship detection, it contains 5,126 remote sensing satellite images and more than 23800 ships in 6 categories. The dataset contains a variety of scenarios and challenges. Experiments show that the method is accurate and effective, and the bounding box has good wrapping property.

关键词： Marine vehicles Feature extraction Remote sensing Object detection Redundancy Interference Proposals

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Energy Efficient Resource Allocation in NOMA-Sectored Heterogeneous network

Energy Efficient Resource Allocation in NOMA-Sectored Hetero...

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International Conference on Wireless communications and Signal Processing (WCSP)

作者： Lei Wang Wen Tang Ting Qi Jingwu Cui Baoyu Zheng Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Ministry of Education China National and Local Joint Engineering Laboratory of RF Integration and Micro-Assembly Technology Nanjing University of Posts and Telecommunications China

ISBN: (数字)9781728172361

ISBN: (纸本)9781728172378

Non-orthogonal multiple access (NOMA) and heterogeneous network (HetNet) have been regarded as two promising technologies in 5G, which can support massive connectivity. Integrating NOMA technology into HetNet is an inevitable trend to achieve better spectral efficiency. However, interference control becomes more complicated due to the combination of these two technologies and the optimization of energy efficiency comes at the expense of spectral efficiency. Therefore, we develop a novel network scenario, which exploits the benefits of sectorization. In this paper, we aim to maximize the energy efficiency of the entire small cells in an uplink underlaying two-tier NOMA heterogeneous network with sectorization. Since this energy efficiency maximization problem is a mixed integer non-linear programming (MINLP) problem which is difficult to solve, it is decomposed into two subproblems. Firstly, we use the Lagrange dual method and Karush-Kuhn-Tucker (KKT) optimal conditions to obtain the closed-form power allocation solution. Secondly, a low-complexity subchannel allocation algorithm based on the greedy strategy is proposed. Simulation results show that our proposed scheme obtain significant energy efficiency gain and is superior to other existing schemes.

关键词： Resource management NOMA Uplink Base stations Heterogeneous networks Telecommunications Mathematical model

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Measurement-device-independent quantum key distribution with hyper-encoding

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Science China(Physics,Mechanics & Astronomy) 2019年第11期62卷 47-56页

作者： Zheng-Xia Cui Wei Zhong Lan Zhou Yu-Bo Sheng Schoool of Science Nanjing University of Posts and TelecommunicationsNanjing 210003China Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of EducationNanjing University of Postsand TelecommunicationsNanjing 210003China Institute for Quantum Computing University of Waterloo200 University Ave WWaterloo ON N2L3G1Canada Institute of Quantum Information and Technology Nanjing University of Posts and TelecommunicationsNanjing 210003China

Measurement device-independent quantum key distribution(MDI-QKD) protocols are immune to all possible attacks on the photon detectors during quantum communication, but their key generation rates are low compared with those of other QKD *** each individual photon’s channel capacity is an efficient way to increase the key generation rate, and high-dimensional(HD) encoding is a powerful tool for increasing the channel capacity of photons. In this paper, we propose an HD MDI-QKD protocol with qudits hyper-encoded in spatial mode and polarization degrees of freedom(DOFs). In the proposed protocol, keys can be generated using the spatial mode and polarization DOFs simultaneously. The proposed protocol is unconditionally secure,even for weak coherent pulses with decoy states. The proposed MDI-QKD protocol may be useful for future quantum secure communication applications.

关键词： quantum communication measurement device-independent quantum key distribution high-dimensional hyper encoding

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Three-step three-party quantum secure direct communication

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Science China(Physics,Mechanics & Astronomy) 2018年第9期61卷 26-30页

作者： Shan-Shan Chen Lan Zhou Wei Zhong Yu-Bo Sheng Institute of Quantum Information and Technology Nanjing University of Posts and Telecommunications Nanjing 210003 China College of Mathematics & Physics Nanjing University of Posts and Telecommunications Nanfing 210003 China Key Lab of Broadband Vireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Ministry of Education Nanjing 210003 China

We propose a three-party quantum secure direct communication(QSDC) protocol with hyperentanglement in both spatial-mode and polarization degrees of freedom. The secret message can be encoded independently with desired unitary operations in two degrees of freedom. In this protocol, a party can synchronously obtain the other two parties' messages. Compared with previous three-party QSDC protocols, our protocol has several advantages. First, the single photons in our protocol are only required to transmit for three times. This advantage makes this protocol simple and useful. Second, Alice and Bob can send different secret messages to Charlie, respectively. Finally, with hyperentanglement, this protocol has a higher information capacity than other protocols.

关键词： quantum communication quantum secure direct communication hyperentanglement

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Long-distance entanglement purification for quantum communication

arXiv

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arXiv 2021年

作者： Hu, Xiao-Min Huang, Cen-Xiao Sheng, Yu-Bo Zhou, Lan Liu, Bi-Heng Guo, Yu Zhang, Chao Xing, Wen-Bo Huang, Yun-Feng Li, Chuan-Feng Guo, Guang-Can CAS Key Laboratory of Quantum Information University of Science and Technology of China Hefei230026 China Institute of Quantum Information and Technology Nanjing University of Posts and Telecommunications Nanjing210003 China College of Mathematics & Physics Nanjing University of Posts and Telecommunications Nanjing210003 China CAS Center For Excellence in Quantum Information and Quantum Physics University of Science and Technology of China Hefei230026 China Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Ministry of Education Nanjing210003 China

High quality long-distance entanglement is essential for both quantum communication and scalable quantum networks. Entanglement purification is to distill high-quality entanglement from low-quality entanglement in a noisy environment and it plays a key role in quantum repeaters. The previous significant entanglement purification experiments require two pairs of low-quality entangled states and were demonstrated in table-top. Here we propose and report a high-efficiency and long-distance entanglement purification using only one pair of hyperentangled state. We also demonstrate its practical application in entanglement-based quantum key distribution (QKD). One pair of polarization spatial-mode hyperentanglement was distributed over 11 km multicore fiber (noisy channel). After purification, the fidelity of polarization entanglement arises from 0.771 to 0.887 and the effective key rate in entanglement-based QKD increases from 0 to 0.332. The values of Clauser-Horne-Shimony-Holt (CHSH) inequality of polarization entanglement arises from 1.829 to 2.128. Moreover, by using one pair of hyperentanglement and deterministic controlled-NOT gate, the total purification efficiency can be estimated as 6.6 × 103 times than the experiment using two pairs of entangled states with spontaneous parametric down conversion (SPDC) sources. Our results offer the potential to be implemented as part of a full quantum repeater and large scale quantum network. Copyright © 2021, The Authors. All rights reserved.

关键词： Quantum communication

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Arbitrary-Oriented Ship Detection Based on Rotation Region Locating networks in Large Scale Remote Sensing Images

Arbitrary-Oriented Ship Detection Based on Rotation Region L...

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International Conference on Image, Vision and Computing (ICIVC)

作者： Xipeng Liu Jianxin Chen Bin Kang Xuguang Zhang Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Nanjing China

ISBN: (纸本)9781728123264

Although deep learning has dominated the ship detection domain, it still has two challenges: arbitrary-oriented densely arranged ships cause detection omissions and large scale image contains redundant areas. This paper proposes an effective convolutional neural network framework for arbitrary-oriented ship detection in large scale and complex scenes. In this framework, we propose Cumulative Feature Pyramid networks for multi-receptive-field feature fusion, which enhances high-level semantic information at all scales. Based on the outputs of Region Proposal networks, Rotation Region Locating network predicts rotation bounding box of arbitrary-oriented ships and adopts rotation intersection over union to avoid the effect of ship dense arrangement. For large scale scenes, No-Ship Area Suppression uses OTSU algorithm to generate binary mask and then filter out non-ship regions to reduce redundant computations. Additionally, we firstly build a remote sensing image dataset for ship detection, which contains 4237 images and over 21200 ships. Experimental comparisons with the state-of-the-art approaches validate the effectiveness, accuracy and robustness of the proposed method.

关键词： Remote sensing Ship detection Deep learning Feature fushion Rotation region proposal Ships remote sensing remote sensing images Scale formation Machine Learning

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Medical Image Grading Learning Based on Active and Incremental Fine-Tuning

Medical Image Grading Learning Based on Active and Increment...

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2019第十一届数字图像处理国际会议

作者： Zhuo Su Jiwei Hu Quan Liu Jiamei Deng School of Information Engineering Wuhan University of Technology Key Lab.of Broadband Wireless Communication and Sensor Network

The development of convolutional neural network has brought great achievements to image classification in recent ***,the classification performance is good only for natural images rather than medical *** important reason is that the medical image database used for training is always *** how to use these limited data to acquire more extensive features has become a hot research *** this paper,we first update the order and number of the whole training data every time in active and incremental *** we set different contribution rate for the data selected in our model,which based on the information quantity of the data in training stage and make our model converge *** that,a pre-trained model and our preprocessed datasets are employed,which allows us to further fine-tune our *** experiments evaluated on two different biomedical datasets shows that our model can achieve promising results.

关键词： Grading learning medical image multivariate training datasets

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Voiceprint recognition based on BP Neural network and CNN 4

Voiceprint recognition based on BP Neural Network and CNN

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2019 4th International Conference on Intelligent Computing and Signal Processing, ICSP 2019

作者： Zhipeng, Dong Jingcheng, Wei Yumin, Xu Qingmin, Meng Xiaoming, Wang Key Laboratory of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Ministry of Education College of Telecommunications and Information Engineering Nanjing210003 China National Mobile Communications Research Lab Southeast University Nanjing210096 China

At present, speech recognition has become a key technology of human-computer interaction, which can be used in semantic recognition and speaker identification and other related applications. This paper focuses on a speaker identification scene and the technical design. Because artificial neural network has the ability to distinguish complex classification boundaries, plenty of work on speech recognition had studied multi-layer perceptual networks to improve the accuracy of classification where back propagation method (BP algorithm) has been used. In the studied scheme, when the test objects (speakers) speak the same isolated word, the identification system can judge who the speaker is by identifying the voice voiceprint of different people. Our design not only considers the recognition based on BP as well as its variant, but also explores the voiceprint recognition based on convolution neural network (CNN). Secondly, the network structure and performance are also compared in detail. © 2019 IOP Publishing Ltd. All rights reserved.

关键词： Speech recognition

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