Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Abbas, Amira"'
Autor:
Abbas, Amira, Ambainis, Andris, Augustino, Brandon, Bärtschi, Andreas, Buhrman, Harry, Coffrin, Carleton, Cortiana, Giorgio, Dunjko, Vedran, Egger, Daniel J., Elmegreen, Bruce G., Franco, Nicola, Fratini, Filippo, Fuller, Bryce, Gacon, Julien, Gonciulea, Constantin, Gribling, Sander, Gupta, Swati, Hadfield, Stuart, Heese, Raoul, Kircher, Gerhard, Kleinert, Thomas, Koch, Thorsten, Korpas, Georgios, Lenk, Steve, Marecek, Jakub, Markov, Vanio, Mazzola, Guglielmo, Mensa, Stefano, Mohseni, Naeimeh, Nannicini, Giacomo, O'Meara, Corey, Tapia, Elena Peña, Pokutta, Sebastian, Proissl, Manuel, Rebentrost, Patrick, Sahin, Emre, Symons, Benjamin C. B., Tornow, Sabine, Valls, Victor, Woerner, Stefan, Wolf-Bauwens, Mira L., Yard, Jon, Yarkoni, Sheir, Zechiel, Dirk, Zhuk, Sergiy, Zoufal, Christa
Publikováno v:
Nat Rev Phys (2024)
Recent advances in quantum computers are demonstrating the ability to solve problems at a scale beyond brute force classical simulation. As such, a widespread interest in quantum algorithms has developed in many areas, with optimization being one of
Externí odkaz:
http://arxiv.org/abs/2312.02279
Autor:
Abbas, Amira, King, Robbie, Huang, Hsin-Yuan, Huggins, William J., Movassagh, Ramis, Gilboa, Dar, McClean, Jarrod R.
Publikováno v:
Advances in Neural Information Processing Systems 36 (2024)
The success of modern deep learning hinges on the ability to train neural networks at scale. Through clever reuse of intermediate information, backpropagation facilitates training through gradient computation at a total cost roughly proportional to r
Externí odkaz:
http://arxiv.org/abs/2305.13362
Making statements about the performance of trained models on tasks involving new data is one of the primary goals of machine learning, i.e., to understand the generalization power of a model. Various capacity measures try to capture this ability, but
Externí odkaz:
http://arxiv.org/abs/2112.04807
Autor:
Abbas, Amira, Sutter, David, Zoufal, Christa, Lucchi, Aurélien, Figalli, Alessio, Woerner, Stefan
Publikováno v:
Nat Comput Sci 1, 403-409 (2021)
Fault-tolerant quantum computers offer the promise of dramatically improving machine learning through speed-ups in computation or improved model scalability. In the near-term, however, the benefits of quantum machine learning are not so clear. Unders
Externí odkaz:
http://arxiv.org/abs/2011.00027
Quantum machine learning seeks to exploit the underlying nature of a quantum computer to enhance machine learning techniques. A particular framework uses the quantum property of superposition to store sets of parameters, thereby creating an ensemble
Externí odkaz:
http://arxiv.org/abs/2001.10833
Autor:
Abbas, Amira
Digital tools in the mother tongue education.The purpose of my work is to find out how digital tools can be used in the mother tongue education. As a teacher in different schools, I have seen how my teaching colleagues are using the computer as a too
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-30497
Autor:
Soliman, May Sherif, Soliman, Noha Salah, Abbas, Amira, Gad, Maha Ali, Khairat, Sahar, El-Kholy, Amani
Publikováno v:
Microbes & Infectious Diseases; Nov2024, Vol. 5 Issue 4, p1557-1566, 10p
Akademický článek
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Autor:
Morris, Rachael, Moustafa, Ahmed S.Z., Kassahun-Yimer, Wondwosen, Novotny, Sarah, Billsby, Brittney, Abbas, Amira, Wallace, Kedra
Publikováno v:
In Pregnancy Hypertension: An International Journal of Women's Cardiovascular Health
Publikováno v:
Botanikai Közlemények. 2018, Vol. 105 Issue 2, p253-267. 15p.