Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Menczer, Andor"'
Autor:
Menczer, Andor, van Damme, Maarten, Rask, Alan, Huntington, Lee, Hammond, Jeff, Xantheas, Sotiris S., Ganahl, Martin, Legeza, Örs
We report cutting edge performance results for a hybrid CPU-multi GPU implementation of the spin adapted ab initio Density Matrix Renormalization Group (DMRG) method on current state-of-the-art NVIDIA DGX-H100 architectures. We evaluate the performan
Externí odkaz:
http://arxiv.org/abs/2407.07411
We propose a general approach to find an optimal representation of a quantum many body wave function for a given error margin via global fermionic mode optimization. The stationary point on a fixed rank matrix product state manifold is obtained via a
Externí odkaz:
http://arxiv.org/abs/2406.03449
Publikováno v:
Phys. Rev. B 109, 195148 (2024)
We present a hybrid numerical approach to simulate quantum many body problems on two spatial dimensional quantum lattice models via the non-Abelian ab initio version of the density matrix renormalization group method on state-of-the-art high performa
Externí odkaz:
http://arxiv.org/abs/2311.14106
Autor:
Menczer, Andor, Legeza, Örs
We present novel algorithmic solutions together with implementation details utilizing non-Abelian symmetries in order to boost the current limits of tensor network state algorithms on high performance computing infrastructure. In our in-house develop
Externí odkaz:
http://arxiv.org/abs/2309.16724
Autor:
Menczer, Andor, Legeza, Örs
The interplay of quantum and classical simulation and the delicate divide between them is in the focus of massively parallelized tensor network state (TNS) algorithms designed for high performance computing (HPC). In this contribution, we present nov
Externí odkaz:
http://arxiv.org/abs/2305.05581
Akademický článek
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Akademický článek
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Autor:
Menczer A; Strongly Correlated Systems Lendület Research Group, Wigner Research Centre for Physics, H-1525 Budapest, Hungary.; Eötvös Loránd University, Pázmány Péter Sétány 1/C, 1117 Budapest, Hungary., van Damme M; SandboxAQ, 780 High Street, Palo Alto, California 94301, United States., Rask A; SandboxAQ, 780 High Street, Palo Alto, California 94301, United States., Huntington L; SandboxAQ, 780 High Street, Palo Alto, California 94301, United States., Hammond J; NVIDIA Helsinki Oy, Porkkalankatu 1, 00180 Helsinki, Finland., Xantheas SS; Advanced Computing, Mathematics, and Data Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States.; Department of Chemistry, University of Washington, Seattle, Washington 98195, United States., Ganahl M; SandboxAQ, 780 High Street, Palo Alto, California 94301, United States., Legeza Ö; Strongly Correlated Systems Lendület Research Group, Wigner Research Centre for Physics, H-1525 Budapest, Hungary.; Dynaflex Ltd., Zrínyi u 7, 1028 Budapest, Hungary.; Institute for Advanced Study,Technical University of Munich, Germany, Lichtenbergstrasse 2a, 85748 Garching, Germany.; Parmenides Stiftung, Hindenburgstr. 15, 82343 Pöcking, Germany.
Publikováno v:
Journal of chemical theory and computation [J Chem Theory Comput] 2024 Oct 08; Vol. 20 (19), pp. 8397-8404. Date of Electronic Publication: 2024 Sep 19.
