Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Alvestad, Daniel"'
We present a simulation strategy for the real-time dynamics of quantum fields, inspired by reinforcement learning. It builds on the complex Langevin approach, which it amends with system specific prior information, a necessary prerequisite to overcom
Externí odkaz:
http://arxiv.org/abs/2310.08053
This study explores the utility of a kernel in complex Langevin simulations of quantum real-time dynamics on the Schwinger-Keldysh contour. We give several examples where we use a systematic scheme to find kernels that restore correct convergence of
Externí odkaz:
http://arxiv.org/abs/2212.07985
Publikováno v:
J. High Energ. Phys. 2023, 57 (2023)
We present a novel strategy aimed at restoring correct convergence in complex Langevin simulations. The central idea is to incorporate system-specific prior knowledge into the simulations, in order to circumvent the NP-hard sign problem. In order to
Externí odkaz:
http://arxiv.org/abs/2211.15625
Publikováno v:
Eur. Phys. J. C 83, 379 (2023)
We investigate enhancing the sensitivity of new physics searches at the LHC by machine learning in the case of background dominance and a high degree of overlap between the observables for signal and background. We use two different models, XGBoost a
Externí odkaz:
http://arxiv.org/abs/2108.03125
This study explores the potential of modern implicit solvers for stochastic partial differential equations in the simulation of real-time complex Langevin dynamics. Not only do these methods offer asymptotic stability, rendering the issue of runaway
Externí odkaz:
http://arxiv.org/abs/2105.02735
Autor:
Alvestad, Daniel1 (AUTHOR), Fomin, Nikolai2 (AUTHOR), Kersten, Jörn2,3 (AUTHOR) joern.kersten@uib.no, Maeland, Steffen4 (AUTHOR), Strümke, Inga5 (AUTHOR)
Publikováno v:
European Physical Journal C -- Particles & Fields. May2023, Vol. 83 Issue 5, p1-22. 22p.
Akademický článek
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Publikováno v:
EPJ Web of Conferences, Vol 274, p 08001 (2022)
This study explores the utility of a kernel in complex Langevin simulations of quantum real-time dynamics on the Schwinger-Keldysh contour. We give several examples where we use a systematic scheme to find kernels that restore correct convergence of
Externí odkaz:
https://doaj.org/article/115338dec88340ee836aaff3ba9973b0
Akademický článek
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