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Tomography is Necessary for Universal Entanglement Detection with Single-Copy Observables

Physical Review Letters 2016年第23期116卷 230501-230501页

作者： Dawei Lu Tao Xin Nengkun Yu Zhengfeng Ji Jianxin Chen Guilu Long Jonathan Baugh Xinhua Peng Bei Zeng Raymond Laflamme Institute for Quantum Computing University of Waterloo Waterloo N2L 3G1 Ontario Canada State Key Laboratory of Low-Dimensional Quantum Physics and Department of Physics Tsinghua University Beijing 100084 China Centre for Quantum Computation and Intelligent Systems Faculty of Engineering and Information Technology University of Technology Sydney NSW 2007 Australia Department of Mathematics and Statistics University of Guelph Guelph Ontario N1G 2W1 Canada State Key Laboratory of Computer Science Institute of Software Chinese Academy of Sciences Beijing 100190 China Joint Center for Quantum Information and Computer Science University of Maryland College Park Maryland 20742 USA Hefei National Laboratory for Physical Sciences at Microscale and Department of Modern Physics University of Science and Technology of China Hefei Anhui 230036 China Canadian Institute for Advanced Research Toronto Ontario M5G 1Z8 Canada Perimeter Institute for Theoretical Physics Waterloo Ontario N2L 2Y5 Canada

Entanglement, one of the central mysteries of quantum mechanics, plays an essential role in numerous tasks of quantum information science. A natural question of both theoretical and experimental importance is whether universal entanglement detection can be accomplished without full state tomography. In this Letter, we prove a no-go theorem that rules out this possibility for nonadaptive schemes that employ single-copy measurements only. We also examine a previously implemented experiment [H. Park et al., Phys. Rev. Lett. 105, 230404 (2010)], which claimed to detect entanglement of two-qubit states via adaptive single-copy measurements without full state tomography. In contrast, our simulation and experiment both support the opposite conclusion that the protocol, indeed, leads to full state tomography, which supplements our no-go theorem. These results reveal a fundamental limit of single-copy measurements in entanglement detection and provide a general framework of the detection of other interesting properties of quantum states, such as the positivity of partial transpose and the k-symmetric extendibility.

关键词： Entanglement detection Entanglement measures Quantum tomography Nuclear magnetic resonance

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Efficient mining of class association rules with the itemset constraint

Efficient mining of class association rules with the itemset...

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作者： Nguyen, Dang Nguyen, Loan T.T. Vo, Bay Pedrycz, Witold Division of Data Science Ton Duc Thang University Ho Chi Minh City Viet Nam Division of Knowledge and System Engineering for ICT Ton Duc Thang University Ho Chi Minh City Viet Nam Faculty of Information Technology Ton Duc Thang University Ho Chi Minh City Viet Nam Faculty of Information Technology Ho Chi Minh City University of Technology Viet Nam College of Electronics and Information Engineering Sejong University Seoul Korea Republic of Department of Electrical and Computer Engineering University of Alberta EdmontonABT6R 2V4 Canada Department of Electrical and Computer Engineering Faculty of Engineering King Abdulaziz University Jeddah21589 Saudi Arabia Systems Research Institute Polish Academy of Sciences Warsaw Poland

Mining class association rules (CARs) with the itemset constraint is concerned with the discovery of rules, which contain a set of specific items in the rule antecedent and a class label in the rule consequent. This task is commonly encountered in mining medical data. For example, when classifying which section of the population is at high risk for the HIV infection, epidemiologists often concentrate on rules which include demographic information such as gender, age, and marital status in the rule antecedent, and HIV-Positive in the rule consequent. There are two naive strategies to solve this problem, namely pre-processing and post-processing. The post-processing methods have to generate and consider a huge number of candidate CARs while the performance of the pre-processing methods depend on the number of records filtered out. Therefore, such approaches are time consuming. This study proposes an efficient method for mining CARs with the itemset constraint based on a lattice structure and the difference between two sets of object identifiers (diffset). Firstly, a lattice structure is built to store all frequent itemsets in the dataset. To reduce memory usage, instead of the entire set of object identifiers, the diffset is used. Secondly, the lattice is traversed to generate only rules which satisfy the itemset constraint. The experimental results show that the proposed algorithm outperforms existing methods in terms of both the mining time and memory usage. © 2016 Elsevier B.V. All rights reserved.

关键词： Data mining

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Network Structure, Metadata, and the Prediction of Missing Nodes and Annotations

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Physical Review X 2016年第3期6卷 031038-031038页

作者： Darko Hric Tiago P. Peixoto Santo Fortunato Department of Computer Science Aalto University School of Science P.O. Box 12200 Aalto FI-00076 Finland Department of Mathematical Sciences and Centre for Networks and Collective Behaviour University of Bath Claverton Down Bath BA2 7AY United Kingdom ISI Foundation Via Alassio 11/c Turin 10126 Italy Institut für Theoretische Physik Universität Bremen Hochschulring 18 Bremen D-28359 Germany Center for Complex Networks and Systems Research School of Informatics and Computing Indiana University Bloomington 47408 IN United States

The empirical validation of community detection methods is often based on available annotations on the nodes that serve as putative indicators of the large-scale network structure. Most often, the suitability of the annotations as topological descriptors itself is not assessed, and without this it is not possible to ultimately distinguish between actual shortcomings of the community detection algorithms, on one hand, and the incompleteness, inaccuracy, or structured nature of the data annotations themselves, on the other. In this work, we present a principled method to access both aspects simultaneously. We construct a joint generative model for the data and metadata, and a nonparametric Bayesian framework to infer its parameters from annotated data sets. We assess the quality of the metadata not according to their direct alignment with the network communities, but rather in their capacity to predict the placement of edges in the network. We also show how this feature can be used to predict the connections to missing nodes when only the metadata are available, as well as predicting missing metadata. By investigating a wide range of data sets, we show that while there are seldom exact agreements between metadata tokens and the inferred data groups, the metadata are often informative of the network structure nevertheless, and can improve the prediction of missing nodes. This shows that the method uncovers meaningful patterns in both the data and metadata, without requiring or expecting a perfect agreement between the two.

关键词： Community structure Network structure Bayesian methods Data analysis

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Publisher Correction: Alpha-synuclein facilitates to form short unconventional microtubules that have a unique function in the axonal transport

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Scientific reports 2018年第1期8卷 8019页

作者： Shiori Toba Mingyue Jin Masami Yamada Kanako Kumamoto Sakiko Matsumoto Takuo Yasunaga Yuko Fukunaga Atsuo Miyazawa Sakiko Fujita Kyoko Itoh Shinji Fushiki Hiroaki Kojima Hideki Wanibuchi Yoshiyuki Arai Takeharu Nagai Shinji Hirotsune Department of Genetic Disease Research Osaka City University Graduate School of Medicine Asahi-machi 1-4-3 Abeno Osaka 545-8585 Japan. Department of Bioscience and Bioinformatics Faculty of Computer Science and Systems Engineering Kyushu Institute of Technology Kawazu 680-4 Iizuka Fukuoka 820-850 Japan. JST-SENTAN 4-1-8 Honcho Kawaguchi Saitama 332-0012 Japan. JST-CREST 4-1-8 Honcho Kawaguchi Saitama 332-0012 Japan. Graduate School of Life Science University of Hyogo 3-2-1 Kouto Kamigori-cho Ako-gun Hyogo 678-1297 Japan. RSC-University of Hyogo Leading Program Center RIKEN SPring-8 Center 1-1-1 Kouto Sayo-cho Sayo-gun Hyogo 679-5148 Japan. Graduate School of Materials Science Nara Institute of Science and Technology 8916-5 Takayama Ikoma Nara 630-0101 Japan. Department of Pathology and Applied Neurobiology Kyoto Prefectural University of Medicine Graduate School of Medical Sciences Kajii-cho Kawaramachi-Hirokoji Kamigyo-ku Kyoto 602-8566 Japan. Advanced ICT Research Institute National Institute of Information and Communications Technology 588-2 Iwaoka Nishi-ku Kobe 651-2492 Japan. Department of Pathology Osaka City University Graduate School of Medicine Asahi-machi 1-4-3 Abeno Osaka 545-8586 Japan. Department of Biomolecular Science and Engineering Institute of Scientific and Industrial Research Osaka University Mihoga-oka 8-1 Osaka 567-0047 Japan. Department of Genetic Disease Research Osaka City University Graduate School of Medicine Asahi-machi 1-4-3 Abeno Osaka 545-8585 Japan. shinjih@med.osaka-cu.ac.jp.

A correction to this article has been published and is linked from the HTML and PDF versions of this paper. The error has not been fixed in the paper.

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Coexistence of Midgap Antiferromagnetic and Mott States in Undoped, Hole- and Electron-Doped Ambipolar Cuprates

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Physical Review Letters 2016年第19期116卷 197002-197002页

作者： Xinmao Yin Shengwei Zeng Tanmoy Das G. Baskaran Teguh Citra Asmara Iman Santoso Xiaojiang Yu Caozheng Diao Ping Yang Mark B. H. Breese T. Venkatesan Hsin Lin Ariando Andrivo Rusydi Singapore Synchrotron Light Source National University of Singapore 5 Research Link Singapore 117603 Singapore NUSSNI-NanoCore National University of Singapore Singapore 117576 Singapore Department of Physics National University of Singapore Singapore 117542 Singapore SZU-NUS Collaborative Innovation Center for Optoelectronic Science & Technology Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province College of Optoelectronic Engineering Shenzhen University Shenzhen 518060 China Centre for Advanced 2D Materials and Graphene Research Centre National University of Singapore Singapore 117546 Singapore Department of Physics Indian Institute of Science Bangalore 560012 India The Institute of Mathematical Sciences Chennai 600041 India Perimeter Institute for Theoretical Physics Waterloo Ontario N2L 2Y5 Canada Department of Electrical and Computer Engineering National University of Singapore Singapore 117583 Singapore

We report the first observation of the coexistence of a distinct midgap state and a Mott state in undoped and their evolution in electron and hole-doped ambipolar Y0.38La0.62(Ba0.82La0.18)2Cu3Oy films using spectroscopic ellipsometry and x-ray absorption spectroscopies at the O K and Cu L3,2 edges. Supported by theoretical calculations, the midgap state is shown to originate from antiferromagnetic correlation. Surprisingly, while the magnetic state collapses and its correlation strength weakens with dopings, the Mott state in contrast moves toward a higher energy and its correlation strength increases. Our result provides important clues to the mechanism of electronic correlation strengths and superconductivity in cuprates.

关键词： Impurities in superconductors Antiferromagnets Cuprates High-temperature superconductors Mott insulators Ellipsometry X-ray absorption near-edge spectroscopy

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Correction to: Meeting report from the fourth meeting of the Computational Modeling in Biology Network (COMBINE)

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Standards in genomic sciences 2018年第1期13卷 17页

作者： Dagmar Waltemath Frank T Bergmann Claudine Chaouiya Tobias Czauderna Padraig Gleeson Carole Goble Martin Golebiewski Michael Hucka Nick Juty Olga Krebs Nicolas Le Novère Huaiyu Mi Ion I Moraru Chris J Myers David Nickerson Brett G Olivier Nicolas Rodriguez Falk Schreiber Lucian Smith Fengkai Zhang Eric Bonnet 1Department of Systems Biology and Bioinformatics University of Rostock Rostock Germany. 2Department of Computing and Mathematical Sciences California Institute of Technology Pasadena CA USA. 4Instituto Gulbenkian de Ciência - IGC Rua da Quinta Grande Oeiras Portugal. 3IPK Gatersleben Gatersleben Germany. 5Department of Neuroscience Physiology and Pharmacology University College London London UK. 6School of Computer Science The University of Manchester Manchester UK. 7Heidelberg Institute for Theoretical Studies Heidelberg Germany. 8EMBL-European Bioinformatics Institute Wellcome Trust Genome Campus Hinxton Cambridge UK. 14The Babraham Institute Babraham Research Campus Cambridge UK. 9Department of preventive medicine Keck School of Medicine University of Southern California Los Angeles CA USA. 10Center for Cell Analysis and Modeling University of Connecticut Health Center Farmington CT USA. 11Department of Electrical and Computer Engineering University of Utah Salt Lake City USA. 12Auckland Bioengineering Institute University of Auckland Auckland New Zealand. 13Systems Bioinformatics VU University Amsterdam Amsterdam The Netherlands. 15Martin Luther University Halle-Wittenberg Halle Germany. 16Monash University Melbourne Australia. Computational Biology Unit Laboratory of Systems Biology National Institute of Allergy and Infectious Diseases NIH Bethesda MD USA. 18Institut Curie Paris France. INSERM U900 75248 Paris France. 20Mines ParisTech 77300 Fontainebleau Paris France.

[This corrects the article DOI: 10.4056/sigs.5279417.].

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Emerging technologies for improving embryo selection: a systematic review

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Advanced Health Care Technologies 2015年 1卷 55-64页

作者： Sengul, Yasemin Bener, Ayse Uyar, Asli 1 Computer Programming Program Advanced Vocational Studies Dogus University Acibadem Kadikoy Istanbul Turkey 2 Data Science Laboratory Department of Mechanical and Industrial Engineering Ryerson University Toronto ON Canada 3 Department of Computer Engineering Okan University Tuzla Istanbul Turkey

Background: Embryo selection procedure is one of the critical success factors in in vitro fertilization treatment. Various embryo selection technologies have emerged within the past decade. These technologies are either used in combination with morphology or introduced to replace the conventional morphological evaluation. This review aims at investigating the effect of these novel embryo selection technologies on in vitro fertilization success rates. Methods: A systematic review of the literature was performed among full-text English articles in the PubMed database. Study selection was based on the predefined inclusion and exclusion criteria. Clinical effectiveness of the selected studies was measured in terms of implantation, pregnancy, live birth, and multiple pregnancy rates. Results: Five studies were identified that fitted the inclusion criteria. In these studies, researchers used aneuploidy screening, metabolomic profiling, and time-lapse imaging analysis as the new technologies. Among these studies, the one that conducted a randomized controlled trial of a commercial time-lapse imaging system demonstrated significant improvement in implantation rate. Conclusion: Studies using emerging technologies for embryo assessment provide promising results in retrospective analysis. On the other hand, randomized controlled trial studies that test the efficacy of novel embryo selection techniques in clinical practice failed to demonstrate a consistent improvement in the resulting success rates. This review provides a snapshot of the most recent literature on embryo assessment and embryo selection studies. Our findings show that there is a lack of comparative measurements and analyses that are able to assess benefits of the novel technologies in the field of embryo selection.

关键词： embryo selection in vitro fertilization IVF

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Use of profile hidden Markov models in viral discovery: current insights

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Advances in Genomics and Genetics 2017年 7卷 29页

作者： Reyes, Alejandro Alves, João Marcelo P Alan Mitchell Durham Gruber, Arthur 1 Department of Biological Sciences Universidad de los Andes Bogotá Colombia2 Department of Pathology and Immunology Center for Genome Sciences and Systems Biology Washington University in Saint Louis St Louis MO USA3 Max Planck Tandem Group in Computational Biology Universidad de los Andes BogotáColombia 4 Department of Parasitology Institute of Biomedical Sciences 5 Department of Computer Science Institute of Mathematics and Statistics Universidade de São Paulo São PauloBrazil

Sequence similarity searches are the bioinformatic cornerstone of molecular sequence analysis for all domains of life. However, large amounts of divergence between organisms, such as those seen among viruses, can significantly hamper analyses. Profile hidden Markov models (profile HMMs) are among the most successful approaches for dealing with this problem, which represent an invaluable tool for viral identification efforts. Profile HMMs are statistical models that convert information from a multiple sequence alignment into a set of probability values that reflect position-specific variation levels in all members of evolutionarily related sequences. Since profile HMMs represent a wide spectrum of variation, these models show higher sensitivity than conventional similarity methods such as BLAST for the detection of remote homologs. In recent years, there has been an effort to compile viral sequences from different viral taxonomic groups into integrated databases, such as Prokaryotic Virus Orthlogous Groups (pVOGs) and database of profile HMMs (vFam) database, which provide functional annotation, multiple sequence alignments, and profile HMMs. Since these databases rely on viral sequences collected from GenBank and RefSeq, they suffer in variable extent from uneven taxonomic sampling, with low sequence representation of many viral groups, which affects the efficacy of the models. One of the interesting applications of viral profile HMMs is the detection and sequence reconstruction of specific viral genomes from metagenomic data. In fact, several DNA assembly programs that use profile HMMs as seeds have been developed to identify and build gene-sized assemblies or viral genome sequences of unrestrained length, using conventional and progressive assembly approaches, respectively. In this review, we address these aspects and cover some up-to-date information on viral genomics that should be considered in the choice of molecular markers for viral discovery. Finally, we pr

关键词： profile hidden Markov models viral discovery DNA assembly metagenomic analysis molecular markers de novo diagnosis

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Camera Mouse + Clicker AID: Dwell vs. Single-muscle click actuation in mouse-replacement interfaces 9th

Camera Mouse + Clicker AID: Dwell vs. Single-muscle click ac...

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9th International Conference on Universal Access in Human-computer Interaction, UAHCI 2015 Held as Part of 17th International Conference on Human-computer Interaction, HCI International 2015

作者： Magee, John Felzer, Torsten Scott Mackenzie, I. Math and Computer Science Department Clark University 950 Main Street WorcesterMA01610 United States Institute for Mechatronic Systems Technische Universität Darmstadt Otto-Berndt-Str. 2 Darmstadt64287 Germany Department of Electrical Engineering and Computer Science York University TorontoM3J 1P3 Canada

ISBN: (纸本)9783319206776

Point-and-click interface modalities are a pervasive method of interacting with graphical user interfaces. Users of mouse-replacement interfaces use alternative input devices to replace the mouse for pointing and clicking. We present a comparison of click actuation modalities with users of the Camera Mouse, a motion-tracking mouse interface. We compare dwell-time click generation against detecting a single intentional muscle contraction with an attached sensor (Clicker AID). A preliminary evaluation was conducted as well as an in-depth case study with a participant with the neuromuscular disease Friedreich’s Ataxia. The case study shows modest temporal differences among the test conditions in movement time and throughput, though the participant subjectively favored the Clicker AID interface. © Springer International Publishing Switzerland 2015.

关键词： Human computer interaction

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MBEEC: A bio-inspired routing protocol with multihop between cluster-heads for energy saving in WSN 11

MBEEC: A bio-inspired routing protocol with multihop between...

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11th International Wireless Communications and Mobile Computing Conference, IWCMC 2015

作者： Martins, Francisco Leonardo Jales Celestino Junior, Joaquim Da Silva Rego, Antoniel Neto, Jose Henrique Brandao Dos Santos, Andre Patel, Ahmed State University of Ceara Jazan University Jazan Saudi Arabia Computer Network Department Computer Science and Information System College Jazan University Jazan Saudi Arabia School of Computing and Information Systems Faculty of Science Engineering and Computing Kingston University Kingston upon ThamesKT1 2EE United Kingdom

ISBN: (纸本)9781479953448

This paper presents a Multihop Routing Algorithm for Wireless Sensor Networks (MBEEC) based on the Dijkstra Algorithm. An important challenge in wireless sensor networks is to balance the energy consumption. The Bio-Inspired Algorithm for Energy Efficient Routing for Continuous Data Dissemination Networks Wireless Sensor (BEE-C) can provide important savings on energy consumption but does not provide routing calculations that ensures a long lived topology. Lifetime is an extremely important factor in a Wireless Sensor Network, because of the difficulty of maintenance, limited battery, memory and processing that sensors have. MBEEC inherits the properties of BEE-C but uses Dijkstra Algorithm for calculating the routes. To ensure the longer lifetime of the network, MBEEC addresses a multihop algorithm in terms of consumption in a matter more energy efficient than BEE-C using Dijkstra to calculate routes, thus balancing the entire network. © 2015 IEEE.

关键词： Wireless sensor networks

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