Zobrazeno 1 - 10
of 94
pro vyhledávání: '"Alexey, Melnikov"'
Autor:
Matvei Anoshin, Asel Sagingalieva, Christopher Mansell, Dmitry Zhiganov, Vishal Shete, Markus Pflitsch, Alexey Melnikov
Publikováno v:
IEEE Transactions on Quantum Engineering, Vol 5, Pp 1-14 (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 parameterized quantum ci
Externí odkaz:
https://doaj.org/article/befb5560bf3b49f8b5b0fcb555027d50
Autor:
Danté M. Hewitt, Mohit Bhardwaj, Alexa C. Gordon, Aida Kirichenko, Kenzie Nimmo, Shivani Bhandari, Ismaël Cognard, Wen-fai Fong, Armando Gil de Paz, Akshatha Gopinath, Jason W. T. Hessels, Franz Kirsten, Benito Marcote, Vladislavs Bezrukovs, Richard Blaauw, Justin D. Bray, Salvatore Buttaccio, Tomas Cassanelli, Pragya Chawla, Alessandro Corongiu, William Deng, Hannah N. Didehbani, Yuxin Dong, Marcin P. Gawroński, Marcello Giroletti, Lucas Guillemot, Jeff Huang, Dmitriy V. Ivanov, Ronniy C. Joseph, Victoria M. Kaspi, Mikhail A. Kharinov, Mattias Lazda, Michael Lindqvist, Giuseppe Maccaferri, Lluis Mas-Ribas, Kiyoshi W. Masui, Ryan Mckinven, Alexey Melnikov, Daniele Michilli, Andrey G. Mikhailov, Anya E. Nugent, Omar S. Ould-Boukattine, Zsolt Paragi, Aaron B. Pearlman, Ue-Li Pen, Ziggy Pleunis, Ketan R. Sand, Vishwangi Shah, Kaitlyn Shin, Mark P. Snelders, Tiziana Venturi, Na Wang, David R. A. Williams-Baldwin, Jun Yang, Jianping P. Yuan
Publikováno v:
The Astrophysical Journal Letters, Vol 977, Iss 1, p L4 (2024)
We present the localization and host galaxy of FRB 20190208A, a repeating source of fast radio bursts (FRBs) discovered using CHIME/FRB. As part of the Pinpointing REpeating ChIme Sources with EVN dishes repeater localization program on the European
Externí odkaz:
https://doaj.org/article/063934b7a7544f1a840ab2bb28085d4f
Publikováno v:
Advances in Physics: X, Vol 8, Iss 1 (2023)
ABSTRACTQuantum machine learning is a rapidly growing field at the intersection of quantum technology and artificial intelligence. This review provides a two-fold overview of several key approaches that can offer advancements in both the development
Externí odkaz:
https://doaj.org/article/2f798bb77a724559a67b11978396de8b
Autor:
Serge Rainjonneau, Igor Tokarev, Sergei Iudin, Saaketh Rayaprolu, Karan Pinto, Daria Lemtiuzhnikova, Miras Koblan, Egor Barashov, Mo Kordzanganeh, Markus Pflitsch, Alexey Melnikov
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 7062-7075 (2023)
Earth imaging satellites are a crucial part of our everyday lives that enable global tracking of industrial activities. Use cases span many applications, from weather forecasting to digital maps, carbon footprint tracking, and vegetation monitoring.
Externí odkaz:
https://doaj.org/article/9c768d2947c348639bddd99d89f76cd9
Autor:
Luca Lusnig, Asel Sagingalieva, Mikhail Surmach, Tatjana Protasevich, Ovidiu Michiu, Joseph McLoughlin, Christopher Mansell, Graziano de’ Petris, Deborah Bonazza, Fabrizio Zanconati, Alexey Melnikov, Fabio Cavalli
Publikováno v:
Diagnostics, Vol 14, Iss 5, p 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:
https://doaj.org/article/dd7682c652a4414aa77ba73d14b79ff6
Autor:
Alexandr Sedykh, Maninadh Podapaka, Asel Sagingalieva, Karan Pinto, Markus Pflitsch, Alexey Melnikov
Publikováno v:
Machine Learning: Science and Technology, Vol 5, Iss 2, p 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 in design of pipeline sy
Externí odkaz:
https://doaj.org/article/0bed51d1bffd48368348bb454b2c07d9
Publikováno v:
Machine Learning: Science and Technology, Vol 5, Iss 1, p 015040 (2024)
Image classification, a pivotal task in multiple industries, faces computational challenges due to the burgeoning volume of visual data. This research addresses these challenges by introducing two quantum machine learning models that leverage the pri
Externí odkaz:
https://doaj.org/article/cebaa2d22711423c8fbce4e90178198a
Publikováno v:
Intelligent Computing, Vol 2 (2023)
The use of quantum neural networks for machine learning is a paradigm that has recently attracted considerable interest. Under certain conditions, these models approximate the distributions of their datasets using truncated Fourier series. Owing to t
Externí odkaz:
https://doaj.org/article/472e975363e8464d842b918d846e2466
Autor:
Gabriele Giovannini, Yuzhu Cui, Kazuhiro Hada, Kunwoo Yi, Hyunwook Ro, Bong Won Sohn, Mieko Takamura, Salvatore Buttaccio, Filippo D’Ammando, Marcello Giroletti, Yoshiaki Hagiwara, Motoki Kino, Evgeniya Kravchenko, Giuseppe Maccaferri, Alexey Melnikov, Kotaro Niinuma, Monica Orienti, Kiyoaki Wajima, Kazunori Akiyama, Akihiro Doi, Do-Young Byun, Tomoya Hirota, Mareki Honma, Taehyun Jung, Hideyuki Kobayashi, Shoko Koyama, Andrea Melis, Carlo Migoni, Yasuhiro Murata, Hiroshi Nagai, Satoko Sawada-Satoh, Matteo Stagni
Publikováno v:
Galaxies, Vol 11, Iss 2, p 49 (2023)
We present here the East Asia to Italy Nearly Global VLBI (EATING VLBI) project. How this project started and the evolution of the international collaboration between Korean, Japanese, and Italian researchers to study compact sources with VLBI observ
Externí odkaz:
https://doaj.org/article/186242404a374b0e85bc76ccea7e7a17
Publikováno v:
Machine Learning: Science and Technology, Vol 4, Iss 3, p 035036 (2023)
Quantum machine learning has become an area of growing interest but has certain theoretical and hardware-specific limitations. Notably, the problem of vanishing gradients, or barren plateaus, renders the training impossible for circuits with high qub
Externí odkaz:
https://doaj.org/article/0684249f73024373b16033e35551933f