Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Jakob Meyer"'
Publikováno v:
Frontiers in Education, Vol 8 (2023)
We investigated pre-service teachers’ beliefs about linguistic and cultural diversity in schools and the extent to which these beliefs differ between students at the beginning and at the end of university teacher training using a sample of 1,319 pr
Externí odkaz:
https://doaj.org/article/0a0a87d2faf949a4af6a52ecbb85f03c
Publikováno v:
npj Quantum Information, Vol 7, Iss 1, Pp 1-5 (2021)
Abstract With an ever-expanding ecosystem of noisy and intermediate-scale quantum devices, exploring their possible applications is a rapidly growing field of quantum information science. In this work, we demonstrate that variational quantum algorith
Externí odkaz:
https://doaj.org/article/e636e1e137ee4b8c9d5e866874e68257
Publikováno v:
Quantum, Vol 5, p 582 (2021)
A large body of recent work has begun to explore the potential of parametrized quantum circuits (PQCs) as machine learning models, within the framework of hybrid quantum-classical optimization. In particular, theoretical guarantees on the out-of-samp
Externí odkaz:
https://doaj.org/article/fb1662ccb5434e1ba0fb7ee8d65d5868
Autor:
Johannes Jakob Meyer
Publikováno v:
Quantum, Vol 5, p 539 (2021)
The recent advent of noisy intermediate-scale quantum devices, especially near-term quantum computers, has sparked extensive research efforts concerned with their possible applications. At the forefront of the considered approaches are variational me
Externí odkaz:
https://doaj.org/article/905ca2a03778463b9b5ffc56ab93b551
Publikováno v:
ChemSusChem.
Autor:
Johannes Jakob Meyer, Marian Mularski, Elies Gil-Fuster, Antonio Anna Mele, Francesco Arzani, Alissa Wilms, Jens Eisert
Publikováno v:
PRX Quantum. 4
Variational quantum machine learning is an extensively studied application of near-term quantum computers. The success of variational quantum learning models crucially depends on finding a suitable parametrization of the model that encodes an inducti
Publikováno v:
Chancen und Risiken von Quantentechnologien ISBN: 9783658375331
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa58b8099afaed8faa4b8a81871632e2
https://doi.org/10.1007/978-3-658-37534-8_6
https://doi.org/10.1007/978-3-658-37534-8_6
Autor:
Florian Kurth, Florian Alius, Martin Witzenrath, Christoph Ruwwe-Gloesenkamp, Elisa T Helbig, Norbert Suttorp, Felix Doellinger, Thomas Zoller, Hans-Jakob Meyer, Daniel Grund, Charlotte Thibeault, Lena J Lippert, Raphaela Maria Ring, Philipp Knape, Fridolin Steinbeis, Mirja Mittermaier, Leif E. Sander, Bettina Temmesfeld-Wollbrueck, Tobias Penzkofer
Publikováno v:
Respiratory Medicine
Introduction Prospective and longitudinal data on pulmonary injury over one year after acute coronavirus disease 2019 (COVID-19) are sparse. We aim to determine reductions in pulmonary function and respiratory related quality of life up to 12 months
Autor:
Fridolin Steinbeis, Philipp Knape, Mirja Mittermaier, Elisa Theresa Helbig, Pinkus Tober-Lau, Charlotte Thibeault, Lena Johanna Lippert, Weiwei Xiang, Moritz Müller-Plathe, Sarah Steinbrecher, Hans-Jakob Meyer, Raphaela Maria Ring, Christoph Ruwwe-Glösenkamp, Florian Alius, Yaosi Li, Holger Müller-Redetzky, Alexander Uhrig, Tilman Lingscheid, Daniel Grund, Bettina Temmesfeld-Wollbrück, Norbert Suttorp, Leif Erik Sander, Florian Kurth, Martin Witzenrath, Thomas Zoller
Publikováno v:
Respiratory Medicine. 202:106968
Cardiopulmonary Exercise Testing (CPET) provides a comprehensive assessment of pulmonary, cardiovascular and musculosceletal function. Reduced CPET performance could be an indicator for chronic morbidity after COVID-19.Patients ≥18 years with confi