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Composable security analysis of continuous-variable measurement-device-independent quantum key distribution with squeezed states for coherent attacks

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arXiv 2018年

作者： Chen, Ziyang Zhang, Yichen Wang, Gan Li, Zhengyu Guo, Hong State Key Laboratory of Advanced Optical Communication System and Network School of Electronics Engineering and Computer Science and Center for Quantum Information Technology Peking University Beijing100871 China 2State Key Laboratory of Information Photonics and Optical Communications Beijing University of Posts and Telecommunications Beijing100876 China

Measurement-device-independent quantum key distribution protocol, whose security analysis does not rely on any assumption on the detection system, can immune the attacking against detectors. We give a first composable security analysis for continuous-variable measurement-device-independent quantum key distribution using squeezed states against general coherent attacks. The security analysis is derived based on the entanglement-based scheme considering finite size effect. A version of entropic uncertainty relation is exploited to give a lower bound on the conditional smooth minentropy by trusting Alice's and Bob's devices. The simulation results indicate that, in the universal composable security framework, the protocol can tolerate 2.5 dB and 6.5 dB channel loss against coherent attacks with direct and reverse reconciliation, respectively. Copyright © 2018, The Authors. All rights reserved.

关键词： Security systems

Multi-task label embedding for text classification

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arXiv 2017年

作者： Zhang, Honglun Xiao, Liqiang Chen, Wenqing Wang, Yongkun Jin, Yaohui State Key Lab of Advanced Optical Communication System and Network Network and Information Center Shanghai Jiao Tong University

Multi-task learning in text classification leverages implicit correlations among related tasks to extract common features and yield performance gains. However, most previous works treat labels of each task as independent and meaningless one-hot vectors, which cause a loss of potential information and makes it difficult for these models to jointly learn three or more tasks. In this paper, we propose Multi-Task label Embedding to convert labels in text classification into semantic vectors, thereby turning the original tasks into vector matching tasks. We implement unsupervised, supervised and semi-supervised models of Multi-Task label Embedding, all utilizing semantic correlations among tasks and making it particularly convenient to scale and transfer as more tasks are involved. Extensive experiments on five benchmark datasets for text classification show that our models can effectively improve performances of related tasks with semantic representations of labels and additional information from each other. Copyright © 2017, The Authors. All rights reserved.

关键词： Embeddings

A generalized recurrent neural architecture for text classification with multi-task learning

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arXiv 2017年

作者： Zhang, Honglun Xiao, Liqiang Wang, Yongkun Jin, Yaohui State Key Lab of Advanced Optical Communication System and Network Network and Information Center Shanghai Jiao Tong University

Multi-task learning leverages potential correlations among related tasks to extract common features and yield performance gains. However, most previous works only consider simple or weak interactions, thereby failing to model complex correlations among three or more tasks. In this paper, we propose a multi-task learning architecture with four types of recurrent neural layers to fuse information across multiple related tasks. The architecture is structurally flexible and considers various interactions among tasks, which can be regarded as a generalized case of many previous works. Extensive experiments on five benchmark datasets for text classification show that our model can significantly improve performances of related tasks with additional information from others. Copyright © 2017, The Authors. All rights reserved.

关键词： Text processing

Parallel multicomponent interferometer with a spinor Bose-Einstein condensate

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arXiv 2018年

作者： Tang, Pengju Peng, Peng Li, Zhihan Chen, Xuzong Li, Xiaopeng Zhou, Xiaoji State Key Laboratory of Advanced Optical Communication System and Network Department of Electronics Peking University Beijing100871 China State Key Laboratory of Surface Physics Institute of Nano-electronics and Quantum Computing Department of Physics Fudan University Shanghai200433 China Collaborative Innovation Center of Advanced Microstructures Nanjing210093 China Collaborative Innovation Center of Extreme Optics Shanxi University Taiyuan Shanxi030006 China

Atom interferometry with high visibility is of high demand for precision measurements. Here, a parallel multicomponent interferometer is achieved by preparing a spin-2 Bose-Einstein condensate of 87Rb atoms confined in a hybrid magneto-optical trap. After the preparation of a spinor Bose-Einstein condensate with spin degrees of freedom entangled, we observe four spatial interference patterns in each run of measurements corresponding to four hyperfine states we mainly populate in the experiment. The atomic populations in different Zeeman sublevels are made controllably using magnetic-field-pulse induced Majorana transitions. The spatial separation of atom cloud in different hyperfine states is reached by Stern-Gerlach momentum splitting. The high visibility of the interference fringes is reached by designing a proper overlap of the interfering wave packets. Due to uncontrollable phase accumulation in Majorana transitions, the phase of each individual spin is found to be subjected to unreproducible shift in multiple experimental runs. However, the relative phase across different spins is stable, paving a way towards noise-resilient multicomponent parallel interferometers. Copyright © 2018, The Authors. All rights reserved.

关键词： Interferometers

C-band real-time 400/300 Gb/s OOK bidirectional interconnection over 20 km multicore fibers

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Chinese Optics Letters 2017年第8期15卷 12-16页

作者：冯振华计红林唐明义理林甘霖薛雷吴琼李博睿赵佳佳童维军付松年刘德明胡卫生 Wuhan National Lab for Optoelectronics (WNLO) & National Engineering Laboratory for Next Generation Internet Access System School of Optical and Electronic Information Huazhong University of Science and Technology Wuhan 430074 China State Key Laboratory of Advanced Optical Communication Systems and Network Shanghai Jiao Tong University Shanghai 200240 China State Key Laboratory of Optical fiber and Cable Manufacture Technology Yangtze Optical fiber and Cable Joint Stock Limited Company (YOFC) Wuhan 430073 China

With the increasing capacity demands fueled by the emerging heterogeneous and bandwidth-intensive applica- tions, such as cloud computing, 4K/8K videos, and virtual reality （VR）, the need for low-cost, power-efficient, and high-density short-reach optical interconnects operating at 100 Gb/s and beyond has drawn significant research efforts.

关键词： OOK ODI C-band real-time 400/300 Gb/s OOK bidirectional interconnection over 20 km multicore fibers over time real

OMNIRank: Risk quantification for P2P platforms with deep learning

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arXiv 2017年

作者： Zhang, Honglun Wang, Haiyang Chen, Xiaming Wang, Yongkun Jin, Yaohui State Key Lab of Advanced Optical Communication System and Network Shanghai Jiao Tong University Shanghai200240 China Network and Information Center Shanghai Jiao Tong University Shanghai200240 China

P2P lending presents as an innovative and flexible alternative for conventional lending institutions like banks, where lenders and borrowers directly make transactions and benefit each other without complicated verifications. However, due to lack of specialized laws, delegated monitoring and effective managements, P2P platforms may spawn potential risks, such as withdraw failures, investigation involvements and even runaway bosses, which cause great losses to lenders and are especially serious and notorious in China. Although there are abundant public information and data available on the Internet related to P2P platforms, challenges of multi-sourcing and heterogeneity matter. In this paper, we promote a novel deep learning model, OMNIRank, which comprehends multi-dimensional features of P2P platforms for risk quantification and produces scores for ranking. We first construct a large-scale flexible crawling framework and obtain great amounts of multi-source heterogeneous data of domestic P2P platforms since 2007 from the Internet. Purifications like duplication and noise removal, null handing, format unification and fusion are applied to improve data qualities. Then we extract deep features of P2P platforms via text comprehension, topic modeling, knowledge graph and sentiment analysis, which are delivered as inputs to OMNIRank, a deep learning model for risk quantification of P2P platforms. Finally, according to rankings generated by OMNIRank, we conduct flourish data visualizations and interactions, providing lenders with comprehensive information supports, decision suggestions and safety guarantees. Copyright © 2017, The Authors. All rights reserved.

关键词： Data visualization

Dual-layer efficiency enhancement for future passive optical network

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Science China(Information Sciences) 2016年第2期59卷 172-184页

作者： Yuefeng JI Xiaoxiong WANG Shizong ZHANG Rentao GU Tonglu GUO Zhaozhi GE State Key Lab of Information Photonics and Optical Communications Beijing University of Posts and Telecommunications Beijing Key Laboratory of Network System Architecture and Convergence School of Information and Communication Engineering Beijing University of Posts and Telecommunications

Ever-increasing demands on bandwidth compel us to improve the bandwidth utilization of access networks. It is more important to enhance the efficiency of passive optical networks(PON) than other access technologies, as they are the primary solutions to various access scenarios. To satisfy the demands of improved bandwidth efficiency, we propose a dual-layer(data link layer and network layer) efficiency enhancement scheme for future PON system. Under this architecture, a data-link-layer flexible coding scheme is introduced to extend the downstream link throughput, and a network-layer centralized active queue management(AQM) scheme is introduced to increase bandwidth efficiency. Both of these technologies are designed to suit the future centralized cooperative control mode. The results of an experimental demonstration of the network coding PON scheme reveal the efficiency of the proposed architecture. The results of simulations show that the centralized AQM scheme has a positive influence on queuing delay and jitter. To the best of our knowledge, this is the first time that a data link layer mechanism and a network layer policy have been integrated to provide high efficiency and quality of service in access networks.

关键词： passive optical network bandwidth efficiency network coding active queue management centralized control

Fast shape matching and retrieval with dynamic angular partition descriptor

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Fast shape matching and retrieval with dynamic angular parti...

IEEE International Workshop on Imaging systems and Techniques (IST)

作者： Pengfei Shi Yongkun Wang Ying Hu Yaohui Jin The State Key Lab of Advanced Optical Communication Systems and Networks China Network & Information Center Shanghai Jiao Tong University Shanghai China

Shape matching and retrieval are fundamental topics in image processing area. With the rapid growing number of images, fast speed in shape matching is necessary, but most methods focus on the retrieval accuracy. In this article, we propose a dynamic angular partition descriptor (DAPD) based on the statistical distribution of the shape contour points, which is scale invariant inherently. DAPD has low computational complexity which enables fast shape matching, and naturally sacrifices a little accuracy in retrieval. However, we leverage the angle sensitivity in the structure of DAPD, which can compensate the loss in accuracy by 4.46% on average. Experiments on several shape databases show that, our descriptor can speed up shape matching by up to 13X, but still retains 91.92% accuracy in the top-4 similar shapes in retrieval tests. Meanwhile, we generate some distorted shapes to verify the robustness of DAPD against rotation and noise.

关键词： Shape Sensitivity Computational complexity Histograms Automobiles Statistical distributions

Continuous-variable measurement-device-independent quantum key distribution with virtual photon subtraction

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arXiv 2017年

作者： Zhao, Yijia Zhang, Yichen Xu, Bingjie Yu, Song Guo, Hong State Key Laboratory of Information Photonics and Optical Communications Beijing University of Posts and Telecommunications Beijing100876 China State Key Laboratory of Advanced Optical Communication System and Network School of Electronics Engineering and Computer Science Center for Quantum Information Technology Peking University Beijing100871 China Science and Technology on Security Communication Laboratory Institute of Southwestern Communication Chengdu610041 China

The method of improving the performance of continuous-variable quantum key distribution protocols by post-selection has been recently proposed and verified. In continuous-variable measurement-device-independent quantum key distribution (CV-MDI QKD) protocols, the measurement results are obtained from untrusted third party Charlie. There is still not an effective method of improving CV-MDI QKD by the post-selection with untrusted measurement. We propose a method to improve the performance of coherent-state CV-MDI QKD protocol by virtual photon subtraction via non-Gaussian post-selection. The non-Gaussian post-selection of transmitted data is equivalent to an ideal photon subtraction on the two-mode squeezed vacuum state, which is favorable to enhance the performance of CV-MDI QKD. In CV-MDI QKD protocol with non-Gaussian post-selection, two users select their own data independently. We demonstrate that the optimal performance of the renovated CV-MDI QKD protocol is obtained with the transmitted data only selected by Alice. By setting appropriate parameters of the virtual photon subtraction, the secret key rate and tolerable excess noise are both improved at long transmission distance. The method provides an effective optimization scheme for the application of CV-MDI QKD protocols. Copyright © 2017, The Authors. All rights reserved.

关键词： Quantum cryptography