Zobrazeno 81 - 90
of 322 409
pro vyhledávání: '"Bauer A."'
Publikováno v:
Nature Rev.Phys. 5 (2023) 7, 420-432
Simulating key static and dynamic properties of matter -- from creation in the Big Bang to evolution into sub-atomic and astrophysical environments -- arising from the underlying fundamental quantum fields of the Standard Model and their effective de
Externí odkaz:
http://arxiv.org/abs/2404.06298
Autor:
Idrissi-Yaghir, Ahmad, Dada, Amin, Schäfer, Henning, Arzideh, Kamyar, Baldini, Giulia, Trienes, Jan, Hasin, Max, Bewersdorff, Jeanette, Schmidt, Cynthia S., Bauer, Marie, Smith, Kaleb E., Bian, Jiang, Wu, Yonghui, Schlötterer, Jörg, Zesch, Torsten, Horn, Peter A., Seifert, Christin, Nensa, Felix, Kleesiek, Jens, Friedrich, Christoph M.
Recent advances in natural language processing (NLP) can be largely attributed to the advent of pre-trained language models such as BERT and RoBERTa. While these models demonstrate remarkable performance on general datasets, they can struggle in spec
Externí odkaz:
http://arxiv.org/abs/2404.05694
Autor:
Kucera, Stephan, Haen, Christian, Arenskötter, Elena, Bauer, Tobias, Meiers, Jonas, Schäfer, Marlon, Boland, Ross, Yahyapour, Milad, Lessing, Maurice, Holzwarth, Ronald, Becher, Christoph, Eschner, Jürgen
We report on the implementation of quantum entanglement distribution and quantum state teleportation over a 14.4-km urban dark-fiber link, which is partially underground, partially overhead, and patched in several stations. We characterize the link f
Externí odkaz:
http://arxiv.org/abs/2404.04958
Autor:
Dada, Amin, Bauer, Marie, Contreras, Amanda Butler, Koraş, Osman Alperen, Seibold, Constantin Marc, Smith, Kaleb E, Kleesiek, Jens
Large Language Models (LLMs) are expected to significantly contribute to patient care, diagnostics, and administrative processes. Emerging biomedical LLMs aim to address healthcare-specific challenges, including privacy demands and computational cons
Externí odkaz:
http://arxiv.org/abs/2404.04067
Autor:
Wei, Ye, Peng, Bo, Xie, Ruiwen, Chen, Yangtao, Qin, Yu, Wen, Peng, Bauer, Stefan, Tung, Po-Yen
A tremendous range of design tasks in materials, physics, and biology can be formulated as finding the optimum of an objective function depending on many parameters without knowing its closed-form expression or the derivative. Traditional derivative-
Externí odkaz:
http://arxiv.org/abs/2404.04062
With the continuous evolution of computational devices, more and more applications are being executed remotely. The applications operate on a wide spectrum of devices, ranging from IoT nodes with low computational capabilities to large cloud provider
Externí odkaz:
http://arxiv.org/abs/2404.02608
Autor:
Bisbas, George, Lydike, Anton, Bauer, Emilien, Brown, Nick, Fehr, Mathieu, Mitchell, Lawrence, Rodriguez-Canal, Gabriel, Jamieson, Maurice, Kelly, Paul H. J., Steuwer, Michel, Grosser, Tobias
Domain Specific Languages (DSLs) increase programmer productivity and provide high performance. Their targeted abstractions allow scientists to express problems at a high level, providing rich details that optimizing compilers can exploit to target c
Externí odkaz:
http://arxiv.org/abs/2404.02218
Autor:
Bauer, Martin
Flavour-violating decays are some of the most sensitive probes for New Physics with masses below the B meson threshold. In this talk I review the sensitivity to axion-like particles, hidden photons and heavy neutral leptons assuming minimal models wh
Externí odkaz:
http://arxiv.org/abs/2404.01095
Autor:
Bauer, Andrej, Hanson, James E.
We construct a topos in which the Dedekind reals are countable. To accomplish this, we first define a new kind of toposes that we call parameterized realizability toposes. They are built from partial combinatory algebras whose application operation d
Externí odkaz:
http://arxiv.org/abs/2404.01256
Autor:
Wang, Leran, Leon, Alejandro O., He, Wenqing, Liang, Zhongyu, Li, Xiaohan, Fang, Xiaoxiao, Yang, Wenyun, Peng, Licong, Yang, Jinbo, Wan, Caihua, Bauer, Gerrit E. W., Luo, Zhaochu
Owing to the unique features of low Gilbert damping, long spin-diffusion lengths and zero Ohmic losses, magnetic insulators are promising candidate materials for next-generation spintronic applications. However, due to the localized magnetic moments
Externí odkaz:
http://arxiv.org/abs/2404.00845