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Publikováno v:
2024 Mach. Learn.: Sci. Technol. 5 035015
In recent years, machine learning models, chiefly deep neural networks, have revealed suited to learn accurate energy-density functionals from data. However, problematic instabilities have been shown to occur in the search of ground-state density pro
Externí odkaz:
http://arxiv.org/abs/2403.09788
Publikováno v:
Phys. Rev. A 109, 032408 (2024)
Quantum enhanced optimization of classical cost functions is a central theme of quantum computing due to its high potential value in science and technology. The variational quantum eigensolver (VQE) and the quantum approximate optimization algorithm
Externí odkaz:
http://arxiv.org/abs/2308.00044
Autor:
Ködel, Sven, Le Jeune, Tanguy (1759-1811), http://www.worldcat.org/identities/np-le%20jeune,%20tanguy
Au lendemain de la Révolution, la connaissance du français est loin d’être généralisée dans la campagne bretonne. L’alphabétisation gagne certe du terrain, mais la scolarisation se fait en français, langue étrangère pour la plupart des
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b7180a103d57bfe5087c66e1f99c76e6
Accelerating equilibrium spin-glass simulations using quantum annealers via generative deep learning
Publikováno v:
SciPost Phys. 15, 018 (2023)
Adiabatic quantum computers, such as the quantum annealers commercialized by D-Wave Systems Inc., are routinely used to tackle combinatorial optimization problems. In this article, we show how to exploit them to accelerate equilibrium Markov chain Mo
Externí odkaz:
http://arxiv.org/abs/2210.11288
Publikováno v:
Phys. Rev. E 106, 045309 (2022)
Machine-learned regression models represent a promising tool to implement accurate and computationally affordable energy-density functionals to solve quantum many-body problems via density functional theory. However, while they can easily be trained
Externí odkaz:
http://arxiv.org/abs/2205.08367
Publikováno v:
Il Foro Italiano, 1974 Jan 01. 97, 3/4-5/6.
Externí odkaz:
https://www.jstor.org/stable/23163791
Autor:
Bulhosen, Pat, Logi, Francesca, Riu, Loredana
Publikováno v:
Pocket Oxford Italian Dictionary: Italian-English, 4 ed., 2012.