Institution
Vienna University of Technology
Education•Vienna, Austria•
About: Vienna University of Technology is a education organization based out in Vienna, Austria. It is known for research contribution in the topics: Laser & Cloud computing. The organization has 16723 authors who have published 49341 publications receiving 1302168 citations.
Topics: Laser, Cloud computing, Finite element method, Magnetization, Population
Papers published on a yearly basis
Papers
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TL;DR: In this paper, the authors present various models for the origin of the electric noise, provide a critical review of the experimental findings, and summarizes the important questions that are still open in this active research area.
Abstract: How can the electric noise in the vicinity of a metallic body be measured and understood? Trapped ions, known as unique tools for metrology and quantum information processing, also constitute very sensitive probes of this electric noise for distances from micrometers to millimeters. This paper presents various models for the origin of the electric noise, provides a critical review of the experimental findings, and summarizes the important questions that are still open in this active research area.
349 citations
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Utrecht University1, United States Department of Energy2, National Autonomous University of Mexico3, National and Kapodistrian University of Athens4, University of Debrecen5, Leiden University6, Commonwealth Scientific and Industrial Research Organisation7, Maynooth University8, University of Göttingen9, University of Natural Resources and Life Sciences, Vienna10, University of Seville11, Broad Institute12, Huazhong Agricultural University13, State University of Campinas14, International Sleep Products Association15, Université libre de Bruxelles16, University of Nottingham17, Aix-Marseille University18, Pasteur Institute19, Institut national de la recherche agronomique20, King Abdulaziz University21, University of Helsinki22, University of Amsterdam23, University of Ioannina24, University of St Andrews25, Saint Petersburg State University26, Spanish National Research Council27, Federal University of São Carlos28, Swedish University of Agricultural Sciences29, Technical University of Berlin30, National Scientific and Technical Research Council31, Concordia University32, Kyungpook National University33, University of the Republic34, Karlsruhe Institute of Technology35, University of Sulaymaniyah36, University of Ljubljana37, Leibniz Association38, Stanford University39, Kansas State University40, Technical University of Denmark41, University of Wisconsin-Madison42, Pacific Northwest National Laboratory43, University of Jena44, University of São Paulo45, University of Kansas46, Université Paris-Saclay47, Imperial College London48, Vienna University of Technology49
TL;DR: In this article, a comparative genomics and experimental study of the aspergilli genus is presented, which allows for the first time a genus-wide view of the biological diversity of the Aspergillus and in many, but not all, cases linked genome differences to phenotype.
Abstract: Background: The fungal genus Aspergillus is of critical importance to humankind. Species include those with industrial applications, important pathogens of humans, animals and crops, a source of potent carcinogenic contaminants of food, and an important genetic model. The genome sequences of eight aspergilli have already been explored to investigate aspects of fungal biology, raising questions about evolution and specialization within this genus. Results: We have generated genome sequences for ten novel, highly diverse Aspergillus species and compared these in detail to sister and more distant genera. Comparative studies of key aspects of fungal biology, including primary and secondary metabolism, stress response, biomass degradation, and signal transduction, revealed both conservation and diversity among the species. Observed genomic differences were validated with experimental studies. This revealed several highlights, such as the potential for sex in asexual species, organic acid production genes being a key feature of black aspergilli, alternative approaches for degrading plant biomass, and indications for the genetic basis of stress response. A genome-wide phylogenetic analysis demonstrated in detail the relationship of the newly genome sequenced species with other aspergilli. Conclusions: Many aspects of biological differences between fungal species cannot be explained by current knowledge obtained from genome sequences. The comparative genomics and experimental study, presented here, allows for the first time a genus-wide view of the biological diversity of the aspergilli and in many, but not all, cases linked genome differences to phenotype. Insights gained could be exploited for biotechnological and medical applications of fungi.
349 citations
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15 Jun 2005TL;DR: This survey discusses different state-of-the-art approaches of combining exact algorithms and metaheuristics to solve combinatorial optimization problems and divides the approaches into collaborative versus integrative combinations.
Abstract: In this survey we discuss different state-of-the-art approaches of combining exact algorithms and metaheuristics to solve combinatorial optimization problems. Some of these hybrids mainly aim at providing optimal solutions in shorter time, while others primarily focus on getting better heuristic solutions. The two main categories in which we divide the approaches are collaborative versus integrative combinations. We further classify the different techniques in a hierarchical way. Altogether, the surveyed work on combinations of exact algorithms and metaheuristics documents the usefulness and strong potential of this research direction.
348 citations
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TL;DR: In this article, the forecasting abilities of a battery of univariate models on hourly electricity spot prices, using data from the Leipzig Power Exchange, were studied using an autoregressive model.
348 citations
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TL;DR: This work uses programmable arrays of individual atoms trapped in optical tweezers, with interactions controlled by laser excitation to Rydberg states, to implement an iconic many-body problem-the antiferromagnetic two-dimensional transverse-field Ising model, and demonstrates that this platform can be readily used to address open questions in many- body physics.
Abstract: Quantum simulation using synthetic systems is a promising route to solve outstanding quantum many-body problems in regimes where other approaches, including numerical ones, fail1. Many platforms are being developed towards this goal, in particular based on trapped ions2–4, superconducting circuits5–7, neutral atoms8–11 or molecules12,13. All of these platforms face two key challenges: scaling up the ensemble size while retaining high-quality control over the parameters, and validating the outputs for these large systems. Here we use programmable arrays of individual atoms trapped in optical tweezers, with interactions controlled by laser excitation to Rydberg states11, to implement an iconic many-body problem—the antiferromagnetic two-dimensional transverse-field Ising model. We push this platform to a regime with up to 196 atoms manipulated with high fidelity and probe the antiferromagnetic order by dynamically tuning the parameters of the Hamiltonian. We illustrate the versatility of our platform by exploring various system sizes on two qualitatively different geometries—square and triangular arrays. We obtain good agreement with numerical calculations up to a computationally feasible size (approximately 100 particles). This work demonstrates that our platform can be readily used to address open questions in many-body physics. Programmable quantum simulation of two-dimensional antiferromagnets is achieved with up to 196 neutral atoms, and the capability of the platform is demonstrated on square and triangular arrays.
348 citations
Authors
Showing all 16934 results
Name | H-index | Papers | Citations |
---|---|---|---|
Krzysztof Matyjaszewski | 169 | 1431 | 128585 |
Wolfgang Wagner | 156 | 2342 | 123391 |
Marco Zanetti | 145 | 1439 | 104610 |
Sridhara Dasu | 140 | 1675 | 103185 |
Duncan Carlsmith | 138 | 1660 | 103642 |
Ulrich Heintz | 136 | 1688 | 99829 |
Matthew Herndon | 133 | 1732 | 97466 |
Frank Würthwein | 133 | 1584 | 94613 |
Alain Hervé | 132 | 1279 | 87763 |
Manfred Jeitler | 132 | 1278 | 89645 |
David Taylor | 131 | 2469 | 93220 |
Roberto Covarelli | 131 | 1516 | 89981 |
Patricia McBride | 129 | 1230 | 81787 |
David Smith | 129 | 2184 | 100917 |
Lindsey Gray | 129 | 1170 | 81317 |