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pro vyhledávání: '"Baireuther, Paul"'
Autor:
Tighineanu, Petru, Grossberger, Lukas, Baireuther, Paul, Skubch, Kathrin, Falkner, Stefan, Vinogradska, Julia, Berkenkamp, Felix
Meta-learning is a powerful approach that exploits historical data to quickly solve new tasks from the same distribution. In the low-data regime, methods based on the closed-form posterior of Gaussian processes (GP) together with Bayesian optimizatio
Externí odkaz:
http://arxiv.org/abs/2312.00742
Fascination in topological materials originates from their remarkable response properties and exotic quasiparticles which can be utilized in quantum technologies. In particular, large-scale efforts are currently focused on realizing topological super
Externí odkaz:
http://arxiv.org/abs/2112.06777
Autor:
Tighineanu, Petru, Skubch, Kathrin, Baireuther, Paul, Reiss, Attila, Berkenkamp, Felix, Vinogradska, Julia
Bayesian optimization is a powerful paradigm to optimize black-box functions based on scarce and noisy data. Its data efficiency can be further improved by transfer learning from related tasks. While recent transfer models meta-learn a prior based on
Externí odkaz:
http://arxiv.org/abs/2111.11223
The continuous effort towards topological quantum devices calls for an efficient and non-invasive method to assess the conformity of components in different topological phases. Here, we show that machine learning paves the way towards non-invasive to
Externí odkaz:
http://arxiv.org/abs/1901.03346
Publikováno v:
Phys. Rev. Lett. 112, 077003 (2014)
We investigate the photon statistics, entanglement and squeezing of a pn-junction sandwiched between two superconducting leads, and show that such an electrically-driven photon pump generates correlated and entangled pairs of photons. In particular,
Externí odkaz:
http://arxiv.org/abs/1308.4684
Autor:
Baireuther, Paul
Publikováno v:
Mitteilungen der Gesellschaft für Didaktik der Mathematik; Nr. 92 (2012); 59-59
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=issn07227817::61d7ded5c2edba6d957d906269ebb635
https://ojs.didaktik-der-mathematik.de/index.php/mgdm/article/view/499
https://ojs.didaktik-der-mathematik.de/index.php/mgdm/article/view/499
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