Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Gircha, A. I."'
Autor:
Zalivako, Ilia V., Gircha, Alexander I., Nikolaeva, Anastasiia S., Drozhzhin, Denis A., Borisenko, Alexander S., Korolkov, Andrei E., Semenin, Nikita V., Galstyan, Kristina P., Kamenskikh, Pavel A., Smirnov, Vasilii N., Aksenov, Mikhail A., Sidorov, Pavel L., Kiktenko, Evgeniy O., Khabarova, Ksenia Yu., Fedorov, Aleksey K., Kolachevsky, Nikolay N., Semerikov, Ilya A.
Here we present the results of benchmarking of a quantum processor based on trapped $^{171}$Yb$^{+}$ ions by performing basic quantum machine learning algorithms. Specifically, we carry out a supervised binary classification of small-scale digits ima
Externí odkaz:
http://arxiv.org/abs/2406.12007
Publikováno v:
Sci. Rep. 13, 8250 (2023)
Deep generative chemistry models emerge as powerful tools to expedite drug discovery. However, the immense size and complexity of the structural space of all possible drug-like molecules pose significant obstacles, which could be overcome with hybrid
Externí odkaz:
http://arxiv.org/abs/2108.11644
Autor:
Gircha, A. I.1 (AUTHOR), Boev, A. S.1 (AUTHOR), Avchaciov, K.2 (AUTHOR), Fedichev, P. O.2 (AUTHOR) peter.fedichev@gero.ai, Fedorov, A. K.1 (AUTHOR) akf@rqc.ru
Publikováno v:
Scientific Reports. 5/22/2023, Vol. 13 Issue 1, p1-8. 8p.
Autor:
Aminabee Shaik
In the field of pharmaceutical sciences, the integration of artificial intelligence (AI) has emerged as a groundbreaking force, propelling the field into uncharted territories of discovery and innovation. As traditional approaches in drug discovery a