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检索条件"机构=AWS Intelligent and Advanced Compute Technologies"
9 条 记 录,以下是1-10 订阅
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Graph coloring with physics-inspired graph neural networks
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Physical Review Research 2022年 第4期4卷 043131-043131页
作者: Martin J. A. Schuetz J. Kyle Brubaker Zhihuai Zhu Helmut G. Katzgraber Amazon Quantum Solutions Lab Seattle Washington 98170 USA AWS Intelligent and Advanced Compute Technologies Professional Services Seattle Washington 98170 USA AWS Center for Quantum Computing Pasadena California 91125 USA
We show how graph neural networks can be used to solve the canonical graph coloring problem. We frame graph coloring as a multiclass node classification problem and utilize an unsupervised training strategy based on t... 详细信息
来源: 评论
Optimization of Robot-Trajectory Planning with Nature-Inspired and Hybrid Quantum Algorithms
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Physical Review Applied 2022年 第5期18卷 054045-054045页
作者: Martin J.A. Schuetz J. Kyle Brubaker Henry Montagu Yannick van Dijk Johannes Klepsch Philipp Ross Andre Luckow Mauricio G.C. Resende Helmut G. Katzgraber Amazon Quantum Solutions Lab Seattle Washington 98170 USA AWS Intelligent and Advanced Compute Technologies Professional Services Seattle Washington 98170 USA AWS Center for Quantum Computing Pasadena California 91125 USA BMW Group Munich Germany *** Inc. Bellevue Washington 98004 USA University of Washington Seattle Washington 98195 USA
We solve robot-trajectory planning problems at industry-relevant scales. Our end-to-end solution integrates highly versatile random-key algorithms with model stacking and ensemble techniques, as well as path relinking... 详细信息
来源: 评论
A highly efficient tensor network algorithm for multi-asset Fourier options pricing
arXiv
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arXiv 2022年
作者: Kastroyano, Michael Pancotti, Nicola Amazon Quantum Solutions Lab SeattleWA98170 United States AWS Intelligent and Advanced Compute Technologies Professional Services SeattleWA98170 United States AWS Center for Quantum Computing PasadenaCA91125 United States
Risk assessment and in particular derivatives pricing is one of the core areas in computational finance and accounts for a sizeable fraction of the global computing resources of the financial industry. We outline a qu... 详细信息
来源: 评论
Graph Coloring with Physics-Inspired Graph Neural Networks
arXiv
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arXiv 2022年
作者: Schuetz, Martin J.A. Brubaker, J. Kyle Zhu, Zhihuai Katzgraber, Helmut G. Amazon Quantum Solutions Lab SeattleWA98170 United States AWS Intelligent and Advanced Compute Technologies Professional Services SeattleWA98170 United States AWS Center for Quantum Computing PasadenaCA91125 United States
We show how graph neural networks can be used to solve the canonical graph coloring problem. We frame graph coloring as a multi-class node classification problem and utilize an unsupervised training strategy based on ... 详细信息
来源: 评论
Combinatorial Optimization with Physics-Inspired Graph Neural Networks
arXiv
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arXiv 2021年
作者: Schuetz, Martin J.A. Brubaker, J. Kyle Katzgraber, Helmut G. Amazon Quantum Solutions Lab SeattleWA98170 United States AWS Intelligent and Advanced Compute Technologies Professional Services SeattleWA98170 United States AWS Center for Quantum Computing PasadenaCA91125 United States
Combinatorial optimization problems are pervasive across science and industry. Modern deep learning tools are poised to solve these problems at unprecedented scales, but a unifying framework that incorporates insights... 详细信息
来源: 评论
Optimization of Robot Trajectory Planning with Nature-Inspired and Hybrid Quantum Algorithms
arXiv
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arXiv 2022年
作者: Schuetz, Martin J.A. Brubaker, J. Kyle Montagu, Henry van Dijk, Yannick Klepsch, Johannes Ross, Philipp Luckow, Andre Resende, Mauricio G.C. Katzgraber, Helmut G. Amazon Quantum Solutions Lab SeattleWA98170 United States AWS Intelligent and Advanced Compute Technologies Professional Services SeattleWA98170 United States AWS Center for Quantum Computing PasadenaCA91125 United States BMW Group Munich Germany *** Inc. BellevueWA98004 United States University of Washington SeattleWA98195 United States
We solve robot trajectory planning problems at industry-relevant scales. Our end-to-end solution integrates highly versatile random-key algorithms with model stacking and ensemble techniques, as well as path relinking... 详细信息
来源: 评论
Optimization and benchmarking of the thermal cycling algorithm
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Physical Review E 2021年 第3期104卷 035302-035302页
作者: Amin Barzegar Anuj Kankani Salvatore Mandrà Helmut G. Katzgraber Department of Physics and Astronomy Texas A&M University College Station Texas 77843-4242 USA Microsoft Quantum Microsoft Redmond Washington 98052 USA Quantum Artificial Intelligence Laboratory (QuAIL) NASA Ames Research Center Moffett Field California 94035 USA KBR Inc. Houston Texas 77002 USA Amazon Quantum Solutions Lab Seattle Washington 98170 USA AWS Intelligent and Advanced Compute Technologies Professional Services Seattle Washington 98170 USA AWS Center for Quantum Computing Pasadena California 91125 USA
Optimization plays a significant role in many areas of science and technology. Most of the industrial optimization problems have inordinately complex structures that render finding their global minima a daunting task.... 详细信息
来源: 评论
Computational overhead of locality reduction in binary optimization problems
arXiv
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arXiv 2020年
作者: Valiante, Elisabetta Hernandez, Maritza Barzegar, Amin Katzgraber, Helmut G. 1285 W Pender St Unit 200 VancouverBCV6E 4B1 Canada Microsoft Quantum Microsoft RedmondWA98052 United States Amazon Quantum Solutions Lab SeattleWA98170 United States AWS Intelligent and Advanced Compute Technologies Professional Services SeattleWA98170 United States AWS Center for Quantum Computing PasadenaCA91125 United States
Recently, there has been considerable interest in solving optimization problems by mapping these onto a binary representation, sparked mostly by the use of quantum annealing machines. Such binary representation is rem... 详细信息
来源: 评论
Optimization and benchmarking of the thermal cycling algorithm
arXiv
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arXiv 2020年
作者: Barzegar, Amin Kankani, Anuj Mandrà, Salvatore Katzgraber, Helmut G. Department of Physics and Astronomy Texas A&M University College StationTX77843-4242 United States Microsoft Quantum Microsoft RedmondWA98052 United States NASA Ames Research Center Moffett FieldCA94035 United States KBR Inc. 601 Jefferson St. HoustonTX77002 United States Amazon Quantum Solutions Lab SeattleWA98170 United States AWS Intelligent and Advanced Compute Technologies Professional Services SeattleWA98170 United States AWS Center for Quantum Computing PasadenaCA91125 United States
Optimization plays a significant role in many areas of science and technology. Most of the industrial optimization problems have inordinately complex structures that render finding their global minima a daunting task.... 详细信息
来源: 评论