Zobrazeno 1 - 10
of 63
pro vyhledávání: '"A. I. Zacharov"'
Publikováno v:
Quantum, Vol 5, p 532 (2021)
The quantum approximate optimization algorithm (QAOA) has become a cornerstone of contemporary quantum applications development. Here we show that the $density$ of problem constraints versus problem variables acts as a performance indicator. Density
Externí odkaz:
https://doaj.org/article/148ead068da34ab9a991415214f5b5d6
Autor:
V. Akshay, H. Philathong, E. Campos, D. Rabinovich, I. Zacharov, Xiao-Ming Zhang, J. D. Biamonte
Variational quantum algorithms are the centerpiece of modern quantum programming. These algorithms involve training parameterized quantum circuits using a classical co-processor, an approach adapted partly from classical machine learning. An importan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95bee8c30e945252558c63751b677f2a
Autor:
N. L. Krusanova, O. Y. Stekol’shchikov, V. K. Sysoev, M. E. Prohorov, M. S. Tuchin, I. V. Moskatiniev, A. D. Yudin, A. I. Zacharov
Publikováno v:
Solar System Research. 52:636-643
Modern star trackers are based on photodetector arrays such as CCD or CMOS arrays. The accuracy of commercially available devices is ~1–3 arcseconds. However, the development of the space industry calls for higher orientation accuracies, which are
Autor:
Micah Beck, B. Mohr, H. Fu, Alok Choudhary, Alexander S. Szalay, Yi Lu, Mark Asch, Franck Cappello, Satoshi Matsuoka, Ewa Deelman, Terry Moore, J. F. Lavignon, Yutaka Ishikawa, Jack Dongarra, David E. Keyes, Geoffrey C. Fox, Anshu Dubey, B R de Supinski, G. Varoquaux, Zhiwei Xu, Daniel A. Reed, Kate Keahey, Robert W. Wisniewski, S. Requena, Martin Swany, Thomas C. Schulthess, François Bodin, Rick Stevens, Michael A. Heroux, S. Girona, William Tang, T. Bidot, Rosa M. Badia, J. P. Vilotte, William Gropp, I. Zacharov, J. Saltz, William Kramer, Pete Beckman
Publikováno v:
The International Journal of High Performance Computing Applications. 32:435-479
Over the past four years, the Big Data and Exascale Computing (BDEC) project organized a series of five international workshops that aimed to explore the ways in which the new forms of data-centric discovery introduced by the ongoing revolution in hi
Autor:
V. I. Zacharov, A. G. Smochilin, A. Yu. Shcherbuk, Yu. A. Shcherbuk, E. V. Cherepanova, V. V. Donskov, Ya. N. Kushnirenko
Publikováno v:
Advances in Gerontology. 9:343-345
The capacity of comprehensive standardized stepped medical rehabilitation is assessed in 469 patients who underwent surgical procedures for severe craniocerebral injury in Saint Petersburg hospitals in 2010–2017. As a result of the neurorehabilitat
Publikováno v:
Quantum, Vol 5, p 532 (2021)
The quantum approximate optimization algorithm (QAOA) has become a cornerstone of contemporary quantum applications development. Here we show that the \emph{density} of problem constraints versus problem variables acts as a performance indicator. Den
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8a625ef8a6015297154556f643f12c2f
Autor:
Y A, Shcherbuk, V I, Zacharov, A Y, Shcherbuk, V V, Donskov, A G, Smochilin, E V, Cherepanova, Y N, Kushnirenko
Publikováno v:
Advances in gerontology = Uspekhi gerontologii. 32(1-2)
The capacities of systemic standard graded medical rehabilitation were assessed in 469 patients carried out surgical intervention for severe craniocerebral injury at Saint-Petersburg hospitals in 2010-2017. As a result of neurorehabilitation system i
Publikováno v:
The International Journal of High Performance Computing Applications
Autor:
Massimo Giovannozzi, Ben Segal, D. Kaltchev, Kyrre Sjobak, Yuri Nosochkov, Cinzia Luzzi, Matthew Crouch, Nils Høimyr, Ivan Reid, David Cameron, Pascal Hermes, J. Barranco, Peter Skands, I. Zacharov, Nikos Karastathis, Ewen Maclean, Laurence Field, Frederik Van Der Veken, Tatiana Pieloni, Yunhai Cai, L Rivkin, Alessio Mereghetti, E. McIntosh, Claudia Tambasco, James Molson, Riccardo De Maria
Publikováno v:
Open Eng.
BOINC
BOINC, Aug 2017, Petrozavodsk, Russia. pp.378-392, ⟨10.1515/eng-2017-0042⟩
Scopus-Elsevier
Open Engineering, Vol 7, Iss 1, Pp 379-393 (2017)
BOINC
BOINC, Aug 2017, Petrozavodsk, Russia. pp.378-392, ⟨10.1515/eng-2017-0042⟩
Scopus-Elsevier
Open Engineering, Vol 7, Iss 1, Pp 379-393 (2017)
The LHC@Home BOINC project has provided computing capacity for numerical simulations to researchers at CERN since 2004, and has since 2011 been expanded with a wider range of applications. The traditional CERN accelerator physics simulation code SixT
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::988439be1b1d5510bab786f633a3e464
https://hal.archives-ouvertes.fr/hal-01703482
https://hal.archives-ouvertes.fr/hal-01703482
Autor:
Nils Høimyr, Pascal Hermes, M. Schwinzerl, E. McIntosh, Sofia Kostoglou, R. De Maria, Somesh Singh, James Molson, Giovanni Iadarola, Tobias Persson, J. Andersson, I. Zacharov, V. K. Berglyd Olsen, Alessio Mereghetti, Massimo Giovannozzi, Dario Pellegrini, Ewen Maclean, Laurence Field, Kyrre Sjobak
Publikováno v:
International Journal of Modern Physics A. 34:1942035
SixTrack is a single-particle tracking code for high-energy circular accelerators routinely used at CERN for the Large Hadron Collider (LHC), its luminosity upgrade (HL-LHC), the Future Circular Collider (FCC) and the Super Proton Synchrotron (SPS) s