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| 001 | 896709 | ||
| 005 | 20240625095032.0 | ||
| 020 | _ | _ | |a 978-3-95806-529-1 |
| 024 | 7 | _ | |a 2128/28665 |2 Handle |
| 037 | _ | _ | |a FZJ-2021-03542 |
| 100 | 1 | _ | |a Pavarini, Eva |0 P:(DE-Juel1)130881 |b 0 |e Editor |u fzj |
| 111 | 2 | _ | |a Autumn School organized by the Institute for Advanced Simulation at Forschungszentrum Jülich |c Jülich |d 2021-09-20 - 2021-09-24 |
| 245 | _ | _ | |a Simulating Correlations with Computers |
| 260 | _ | _ | |a Jülich |c 2021 |b Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag |
| 300 | _ | _ | |a 420 |
| 336 | 7 | _ | |a BOOK |2 BibTeX |
| 336 | 7 | _ | |a Book |b book |m book |0 PUB:(DE-HGF)3 |s 1632294775_4701 |2 PUB:(DE-HGF) |
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| 490 | 0 | _ | |a Schriften des Forschungszentrums Jülich Modeling and Simulation |v 11 |
| 520 | _ | _ | |a The combinatorial growth of the Hilbert space makes the many-electron problem one of thegrand challenges of theoretical physics. Progress relies on the development of non-perturbativemethods, based on either wavefunctions or self energies. This made, in recent years, calculationsfor strongly correlated materials a reality. These simulations draw their power fromthree sources: theoretical advances, algorithmic developments, and the raw power of massivelyparallel supercomputers. Turning to quantum hardware could give quantum materials sciencethe ultimate boost. Before quantum parallelism can be exploited, however, many questions,algorithmic and engineering, need to be addressed.This year’s school will provide students with an overview of the state-of-the-art of manybodysimulations and the promises of quantum computers. After introducing the basic modelingtechniques and the concept of entanglement in correlated states, lectures will turn to methodsthat do not rely on wavefunctions, comparing density-functional theory, the GW method anddynamical mean-field approaches. Advanced lectures will broaden the discussion, addressingtopics from the Luttinger-Ward functional to non-equilibrium Green functions. As a glimpse offuture possibilities, the basics of quantum computing and its possible uses in materials simulationswill be outlined.A school of this size and scope requires backing from many sources. This is even moretrue during the Corona pandemics, which provided scores of new challenges. We are verygrateful for all the practical and financial support we have received. The Institute for AdvancedSimulation at the Forschungszentrum J¨ulich and the J¨ulich Supercomputer Centre provided themajor part of the funding and were vital for the organization of the school as well as for theproduction of this book. The Institute for Complex Adaptive Matter (ICAM) supplied additionalfunds and ideas for successful online formats.The nature of a school makes it desirable to have the lecture notes available when the lecturesare given. This way students get the chance to work through the lectures thoroughly while theirmemory is still fresh. We are therefore extremely grateful to the lecturers that, despite tightdeadlines, provided their manuscripts in time for the production of this book. We are confidentthat the lecture notes collected here will not only serve the participants of the school but willalso be useful for other students entering the exciting field of strongly correlated materials. |
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| 536 | _ | _ | |a 5215 - Towards Quantum and Neuromorphic Computing Functionalities (POF4-521) |0 G:(DE-HGF)POF4-5215 |c POF4-521 |f POF IV |x 1 |
| 700 | 1 | _ | |a Koch, Erik |0 P:(DE-Juel1)130763 |b 1 |e Editor |u fzj |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/896709/files/M%26S_11_correl21.pdf |y OpenAccess |
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| 913 | 1 | _ | |a DE-HGF |b Key Technologies |l Engineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action |1 G:(DE-HGF)POF4-510 |0 G:(DE-HGF)POF4-511 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-500 |4 G:(DE-HGF)POF |v Enabling Computational- & Data-Intensive Science and Engineering |9 G:(DE-HGF)POF4-5111 |x 0 |
| 913 | 1 | _ | |a DE-HGF |b Key Technologies |l Natural, Artificial and Cognitive Information Processing |1 G:(DE-HGF)POF4-520 |0 G:(DE-HGF)POF4-521 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-500 |4 G:(DE-HGF)POF |v Quantum Materials |9 G:(DE-HGF)POF4-5215 |x 1 |
| 914 | 1 | _ | |y 2021 |
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