Zobrazeno 1 - 10
of 171
pro vyhledávání: '"Melnikov, Alexey P."'
The information plane (Tishby et al. arXiv:physics/0004057, Shwartz-Ziv et al. arXiv:1703.00810) has been proposed as an analytical tool for studying the learning dynamics of neural networks. It provides quantitative insight on how the model approach
Externí odkaz:
http://arxiv.org/abs/2411.02313
In the current quantum computing paradigm, significant focus is placed on the reduction or mitigation of quantum decoherence. When designing new quantum processing units, the general objective is to reduce the amount of noise qubits are subject to, a
Externí odkaz:
http://arxiv.org/abs/2410.19921
Autor:
Krezinger, Mate, Frey, Sandor, Perger, Krisztina, Gabanyi, Krisztina E., An, Tao, Zhang, Yingkang, Gurvits, Leonid I., Titov, Oleg, Melnikov, Alexey, Paragi, Zsolt
There is still a limited number of high-redshift ($z>3$) active galactic nuclei (AGN) whose jet kinematics have been studied with very long baseline interferometry (VLBI). Without a dedicated proper motion survey, regularly conducted astrometric VLBI
Externí odkaz:
http://arxiv.org/abs/2402.09908
Autor:
Anoshin, Matvei, Sagingalieva, Asel, Mansell, Christopher, Zhiganov, Dmitry, Shete, Vishal, Pflitsch, Markus, Melnikov, Alexey
Publikováno v:
IEEE Trans. Quantum Eng. 5, 2500514 (2024)
The drug design process currently requires considerable time and resources to develop each new compound that enters the market. This work develops an application of hybrid quantum generative models based on the integration of parametrized quantum cir
Externí odkaz:
http://arxiv.org/abs/2402.00014
Autor:
Sagingalieva, Asel, Komornyik, Stefan, Senokosov, Arsenii, Joshi, Ayush, Sedykh, Alexander, Mansell, Christopher, Tsurkan, Olga, Pinto, Karan, Pflitsch, Markus, Melnikov, Alexey
Predicting solar panel power output is crucial for advancing the energy transition but is complicated by the variable and non-linear nature of solar energy. This is influenced by numerous meteorological factors, geographical positioning, and photovol
Externí odkaz:
http://arxiv.org/abs/2312.16379
Autor:
Lusnig, Luca, Sagingalieva, Asel, Surmach, Mikhail, Protasevich, Tatjana, Michiu, Ovidiu, McLoughlin, Joseph, Mansell, Christopher, Petris, Graziano de', Bonazza, Deborah, Zanconati, Fabrizio, Melnikov, Alexey, Cavalli, Fabio
Publikováno v:
Diagnostics 14(5), 558 (2024)
In the realm of liver transplantation, accurately determining hepatic steatosis levels is crucial. Recognizing the essential need for improved diagnostic precision, particularly for optimizing diagnosis time by swiftly handling easy-to-solve cases an
Externí odkaz:
http://arxiv.org/abs/2311.02402
Autor:
Cui, Yuzhu, Hada, Kazuhiro, Kawashima, Tomohisa, Kino, Motoki, Lin, Weikang, Mizuno, Yosuke, Ro, Hyunwook, Honma, Mareki, Yi, Kunwoo, Yu, Jintao, Park, Jongho, Jiang, Wu, Shen, Zhiqiang, Kravchenko, Evgeniya, Algaba, Juan-Carlos, Cheng, Xiaopeng, Cho, Ilje, Giovannini, Gabriele, Giroletti, Marcello, Jung, Taehyun, Lu, Ru-Sen, Niinuma, Kotaro, Oh, Junghwan, Ohsuga, Ken, Sawada-Satoh, Satoko, Sohn, Bong Won, Takahashi, Hiroyuki R., Takamura, Mieko, Tazaki, Fumie, Trippe, Sascha, Wajima, Kiyoaki, Akiyama, Kazunori, An, Tao, Asada, Keiichi, Buttaccio, Salvatore, Byun, Do-Young, Cui, Lang, Hagiwara, Yoshiaki, Hirota, Tomoya, Hodgson, Jeffrey, Kawaguchi, Noriyuki, Kim, Jae-Young, Lee, Sang-Sung, Lee, Jee Won, Lee, Jeong Ae, Maccaferri, Giuseppe, Melis, Andrea, Melnikov, Alexey, Migoni, Carlo, Oh, Se-Jin, Sugiyama, Koichiro, Wang, Xuezheng, Zhang, Yingkang, Chen, Zhong, Hwang, Ju-Yeon, Jung, Dong-Kyu, Kim, Hyo-Ryoung, Kim, Jeong-Sook, Kobayashi, Hideyuki, Li, Bin, Li, Guanghui, Li, Xiaofei, Liu, Zhiyong, Liu, Qinghui, Liu, Xiang, Oh, Chung-Sik, Oyama, Tomoaki, Roh, Duk-Gyoo, Wang, Jinqing, Wang, Na, Wang, Shiqiang, Xia, Bo, Yan, Hao, Yeom, Jae-Hwan, Yonekura, Yoshinori, Yuan, Jianping, Zhang, Hua, Zhao, Rongbing, Zhong, Weiye
Publikováno v:
2023, Nature, 621, 711-715
The nearby radio galaxy M87 offers a unique opportunity to explore the connections between the central supermassive black hole and relativistic jets. Previous studies of the inner region of M87 revealed a wide opening angle for the jet originating ne
Externí odkaz:
http://arxiv.org/abs/2310.09015
Autor:
Haboury, Nathan, Kordzanganeh, Mo, Schmitt, Sebastian, Joshi, Ayush, Tokarev, Igor, Abdallah, Lukas, Kurkin, Andrii, Kyriacou, Basil, Melnikov, Alexey
Managing the response to natural disasters effectively can considerably mitigate their devastating impact. This work explores the potential of using supervised hybrid quantum machine learning to optimize emergency evacuation plans for cars during nat
Externí odkaz:
http://arxiv.org/abs/2307.15682
Efficient and sustainable power generation is a crucial concern in the energy sector. In particular, thermal power plants grapple with accurately predicting steam mass flow, which is crucial for operational efficiency and cost reduction. In this stud
Externí odkaz:
http://arxiv.org/abs/2307.09483
Autor:
Sedykh, Alexandr, Podapaka, Maninadh, Sagingalieva, Asel, Pinto, Karan, Pflitsch, Markus, Melnikov, Alexey
Publikováno v:
Mach. Learn.: Sci. Technol. 5(2), 025045 (2024)
Finding the distribution of the velocities and pressures of a fluid by solving the Navier-Stokes equations is a principal task in the chemical, energy, and pharmaceutical industries, as well as in mechanical engineering and the design of pipeline sys
Externí odkaz:
http://arxiv.org/abs/2304.11247