Zobrazeno 1 - 10
of 2 223
pro vyhledávání: '"A. K. Fedorov"'
Publikováno v:
Омский научный вестник, Vol 3 (191), Pp 93-98 (2024)
The article analyzes existing schemes of chaos generators. Numerical and simulation modeling is carried out aimed at identifying chaotic dynamics. Based on wellknown concepts, a chaos generator is developed and a simulation model is built. A mathem
Externí odkaz:
https://doaj.org/article/c3cc94b44d8c4be7a42d21880227c1a1
Publikováno v:
Омский научный вестник: Серия "Авиационно-ракетное и энергетическое машиностроение", Vol 8, Iss 2, Pp 68-76 (2024)
The article presents a quantum mechanical model of an ion thruster. The basic equations describing the shape of the accelerated beam are considered. Detector plates demonstrating the interference pattern in thin films are presented. A mathematical
Externí odkaz:
https://doaj.org/article/98cc90c976034fdcbe5f095f2238a38c
Publikováno v:
Омский научный вестник, Vol 4 (188), Pp 140-151 (2023)
In this paper, the applied problems of designing a bridge resonant converter with a high-voltage arc ignition system in the channel of an electric arc motor is solved. The development of a bridge resonant power supply is presented, a review and an
Externí odkaz:
https://doaj.org/article/a48c803afda6494da4ef0b9679ba0a05
Autor:
Chris D. Armstrong, G. G. Scott, S. Richards, J. K. Patel, K. Fedorov, R. J. Gray, K. Welsby, P. P. Rajeev
Publikováno v:
Frontiers in Physics, Vol 11 (2023)
Laser–plasma interactions (LPIs) are an emerging source of a range of energetic radiation. LPI experiments drive ultra-short (< ps) and brilliant sources of X-rays from keV to MeV energies. Designing detectors to maximise the sensitivity and resolu
Externí odkaz:
https://doaj.org/article/b4e3a8d2b0324371a79d05f8cc9c2f4b
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-8 (2023)
Abstract 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 wi
Externí odkaz:
https://doaj.org/article/bab6a3d32ef74fd486f40f9d0ba21a32
Autor:
Sergey V. Grebnev, Maxim A. Gavreev, Evgeniy O. Kiktenko, Anton P. Guglya, Albert R. Efimov, Aleksey K. Fedorov
Publikováno v:
IEEE Access, Vol 11, Pp 134760-134768 (2023)
Quantum computing devices are believed to be powerful in solving the prime factorization problem, which is at the heart of widely deployed public-key cryptographic tools. However, the implementation of Shor’s quantum factorization algorithm require
Externí odkaz:
https://doaj.org/article/bce9699b10a94686bac3ab22c066689e
Autor:
Ilia V. Zalivako, Alexander S. Borisenko, Ilya A. Semerikov, Andrey E. Korolkov, Pavel L. Sidorov, Kristina P. Galstyan, Nikita V. Semenin, Vasiliy N. Smirnov, Mikhail D. Aksenov, Aleksey K. Fedorov, Ksenia Yu Khabarova, Nikolay N. Kolachevsky
Publikováno v:
Frontiers in Quantum Science and Technology, Vol 2 (2023)
The use of multilevel quantum information carriers, also known as qudits, has attracted significant interest as a way of further scaling quantum computing devices. However, such multilevel systems usually express shorter coherence time than their two
Externí odkaz:
https://doaj.org/article/be16348c6dc7430ea0ddd7b08917dd6f
Publikováno v:
Physical Review Research, Vol 6, Iss 1, p 013161 (2024)
Quantum many-body control is among the most challenging problems in quantum science due to its outstanding computational complexity in a general case. We propose an efficient approach to a class of many-body quantum control problems, where time-depen
Externí odkaz:
https://doaj.org/article/cc413d7353c34ff581c0390f30e2913e
Autor:
Murali K. Kurmapu, V.V. Tiunova, E.S. Tiunov, Martin Ringbauer, Christine Maier, Rainer Blatt, Thomas Monz, Aleksey K. Fedorov, A.I. Lvovsky
Publikováno v:
PRX Quantum, Vol 4, Iss 4, p 040345 (2023)
A prerequisite to the successful development of quantum computers and simulators is precise understanding of the physical processes occurring therein, which can be achieved by measuring the quantum states that they produce. However, the resources req
Externí odkaz:
https://doaj.org/article/84797bdfe59642a48dad39ded2db07dc
Autor:
Mariia D. Sapova, Aleksey K. Fedorov
Publikováno v:
Communications Physics, Vol 5, Iss 1, Pp 1-13 (2022)
The variational quantum eigensolver is a quantum-classical algorithm used to solve optimisation problems in machine learning but demonstrates limitations when applied to simulations of large molecules. Here, the authors explore the use of adaptive va
Externí odkaz:
https://doaj.org/article/c512c136f97547c7be3d182e7c29ea7d