Zobrazeno 1 - 10
of 10 950
pro vyhledávání: '"AN Soloviev"'
Autor:
Schegolev, Andrey E., Bastrakova, Marina V., Sergeev, Michael A., Maksimovskaya, Anastasia A., Klenov, Nikolay V., Soloviev, Igor I.
The extensive development of the field of spiking neural networks has led to many areas of research that have a direct impact on people's lives. As the most bio-similar of all neural networks, spiking neural networks not only allow the solution of re
Externí odkaz:
http://arxiv.org/abs/2412.17926
Autor:
The H1 collaboration, Andreev, V., Arratia, M., Baghdasaryan, A., Baty, A., Begzsuren, K., Bolz, A., Boudry, V., Brandt, G., Britzger, D., Buniatyan, A., Bystritskaya, L., Campbell, A. J., Avila, K. B. Cantun, Cerny, K., Chekelian, V., Chen, Z., Contreras, J. G., Cvach, J., Dainton, J. B., Daum, K., Deshpande, A., Diaconu, C., Drees, A., Eckerlin, G., Egli, S., Elsen, E., Favart, L., Fedotov, A., Feltesse, J., Fleischer, M., Fomenko, A., Gal, C., Gayler, J., Goerlich, L., Gogitidze, N., Gouzevitch, M., Grab, C., Greenshaw, T., Grindhammer, G., Haidt, D., Henderson, R. C. W., Hessler, J., Hladký, J., Hoffmann, D., Horisberger, R., Hreus, T., Huber, F., Jacobs, P. M., Jacquet, M., Janssen, T., Jung, A. W., Katzy, J., Kiesling, C., Klein, M., Kleinwort, C., Klest, H. T., Kogler, R., Kostka, P., Kretzschmar, J., Krücker, D., Krüger, K., Landon, M. P. J., Lange, W., Laycock, P., Lee, S. H., Levonian, S., Li, W., Lin, J., Lipka, K., List, B., List, J., Lobodzinski, B., Long, O. R., Malinovski, E., Martyn, H. -U., Maxfield, S. J., Mehta, A., Meyer, A. B., Meyer, J., Mikocki, S., Mikuni, V. M., Mondal, M. M., Müller, K., Nachman, B., Naumann, Th., Newman, P. R., Niebuhr, C., Nowak, G., Olsson, J. E., Ozerov, D., Park, S., Pascaud, C., Patel, G. D., Perez, E., Petrukhin, A., Picuric, I., Pitzl, D., Radescu, V., Raicevic, N., Ravdandorj, T., Reichelt, D., Reimer, P., Rizvi, E., Robmann, P., Roosen, R., Rostovtsev, A., Rotaru, M., Sankey, D. P. C., Sauter, M., Sauvan, E., Schmitt, S., Schmookler, B. A., Schnell, G., Schoeffel, L., Schöning, A., Sefkow, F., Shushkevich, S., Soloviev, Y., Sopicki, P., South, D., Specka, A., Steder, M., Stella, B., Straumann, U., Sun, C., Sykora, T., Thompson, P. D., Acosta, F. Torales, Traynor, D., Tseepeldorj, B., Tu, Z., Tustin, G., Valkárová, A., Vallée, C., Van Mechelen, P., Wegener, D., Wünsch, E., Žáček, J., Zhang, J., Zhang, Z., Žlebčík, R., Zohrabyan, H., Zomer, F.
In deep-inelastic positron-proton scattering, the lepton-jet azimuthal angular asymmetry is measured using data collected with the H1 detector at HERA. When the average transverse momentum of the lepton-jet system, $\lvert \vec{P}_\perp \rvert $, is
Externí odkaz:
http://arxiv.org/abs/2412.14092
We determine the behavior of an out-of-equilibrium superfluid, composed of a $U(1)$ Goldstone mode coupled to hydrodynamic modes in a M\"uller-Israel-Stewart theory, in expanding backgrounds relevant to heavy ion collision experiments and cosmology.
Externí odkaz:
http://arxiv.org/abs/2410.01892
Publikováno v:
JHEP 10 (2024) 226
Gubser flow is an evolution with cylindrical and boost symmetries, which can be best studied by mapping the future wedge of Minkowski space (R$^{3,1}$) to dS$_3$ $\times$ $\mathbb{R}$ in a conformal relativistic theory. Here, we sharpen our previous
Externí odkaz:
http://arxiv.org/abs/2408.04001
Autor:
Bakurskiy, S. V., Ruzhickiy, V. I., Neilo, A. A., Klenov, N. V., Soloviev, I. I., Elistratova, A. A., Shishkin, A. G., Stolyarov, V. S., Kupriyanov, M. Yu.
Publikováno v:
Published in JMSN: 2024-07-27 , Article , 01-01003, Volume 1, Issue 1
We have studied the Thouless energy in Josephson superconductor-normal metal-superconductor (SN-N-NS) bridges analytically and numerically, taking into account the influence of the sub-electrode regions. We have found a significant suppression of the
Externí odkaz:
http://arxiv.org/abs/2408.01717
Quantum architecture search (QAS) involves optimizing both the quantum parametric circuit configuration but also its parameters for a variational quantum algorithm. Thus, the problem is known to be multi-level as the performance of a given architectu
Externí odkaz:
http://arxiv.org/abs/2407.20091
Publikováno v:
Phys. Rev. D 110, 056053 (2024)
Diffusion is a dissipative transport phenomenon ubiquitously present in nature. Its details can now be analysed with modern effective field theory (EFT) techniques that use the closed-time-path (or Schwinger-Keldysh) formalism. We discuss the structu
Externí odkaz:
http://arxiv.org/abs/2407.13550
Autor:
Pashin, D. S., Bastrakova, M. V., Rybin, D. A., Soloviev, I. I., Schegolev, A. E., Klenov, N. V.
In this article, we consider designs of simple analog artificial neural networks based on adiabatic Josephson cells with a sigmoid activation function. A new approach based on the gradient descent method is developed to adjust the circuit parameters,
Externí odkaz:
http://arxiv.org/abs/2405.03521
Autor:
Sladkov, A., Fegan, C., Yao, W., Bott, A. F. A., Chen, S. N., Ahmed, H., Filippov, E. D., Lelièvre, R., Martin, P., McIlvenny, A., Waltenspiel, T., Antici, P., Borghesi, M., Pikuz, S., Ciardi, A., d'Humières, E., Soloviev, A., Starodubtsev, M., Fuchs, J.
Interactions between magnetic fields advected by matter play a fundamental role in the Universe at a diverse range of scales. A crucial role these interactions play is in making turbulent fields highly anisotropic, leading to observed ordered fields.
Externí odkaz:
http://arxiv.org/abs/2404.12110
The relaxation time approximation (RTA) of the kinetic Boltzmann equation is likely the simplest window into the microscopic properties of collective real-time transport. Within this framework, we analytically compute all retarded two-point Green's f
Externí odkaz:
http://arxiv.org/abs/2403.17769