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pro vyhledávání: '"Ehlers, Peter"'
Reservoir computing is a form of machine learning that utilizes nonlinear dynamical systems to perform complex tasks in a cost-effective manner when compared to typical neural networks. Many recent advancements in reservoir computing, in particular q
Externí odkaz:
http://arxiv.org/abs/2405.12382
Quantum Reservoir Computing leverages quantum systems to solve complex computational tasks with unprecedented efficiency and reduced energy consumption. This paper presents a novel QRC framework utilizing a quantum optical reservoir composed of two-l
Externí odkaz:
http://arxiv.org/abs/2405.04799
Reservoir computing, using nonlinear dynamical systems, offers a cost-effective alternative to neural networks for complex tasks involving processing of sequential data, time series modeling, and system identification. Echo state networks (ESNs), a t
Externí odkaz:
http://arxiv.org/abs/2312.15141
Autor:
Ehlers, Peter J.
Publikováno v:
Annals of Physics 452, 169290 (2023)
The conceptual interpretation of valence- and sea-quark separation, which is a key aspect of the parton model and of an intuitive picture of hadron structure, becomes obscured by quantum effects in QCD. This suggests that there may be measures of ent
Externí odkaz:
http://arxiv.org/abs/2209.09867
Autor:
Polkaehn, Jonas1 (AUTHOR), Ehlers, Peter1 (AUTHOR) peter.ehlers@uni-rostock.de, Villinger, Alexander1 (AUTHOR), Langer, Peter1,2 (AUTHOR) peter.ehlers@uni-rostock.de
Publikováno v:
Molecules. May2024, Vol. 29 Issue 9, p2159. 18p.
Akademický článek
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Autor:
Beane, Silas R., Ehlers, Peter
The nucleon is naturally viewed as a bipartite system of valence spin -- defined by its non-vanishing chiral charge -- and non-valence or sea spin. The sea spin can be traced over to give a reduced density matrix, and it is shown that the resulting e
Externí odkaz:
http://arxiv.org/abs/1905.03295
Publikováno v:
In Tetrahedron 6 April 2023 135
Autor:
Vardanyan, Arpine, Polkaehn, Jonas, Bauder, Marie-Louis, Villinger, Alexander, Ehlers, Peter, Langer, Peter
Publikováno v:
Organic & Biomolecular Chemistry; 11/21/2024, Vol. 22 Issue 43, p8631-8648, 18p