Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Perelshtein, M."'
In optimization, one of the well-known classical algorithms is power iterations. Simply stated, the algorithm recovers the dominant eigenvector of some diagonalizable matrix. Since numerous optimization problems can be formulated as an eigenvalue/eig
Externí odkaz:
http://arxiv.org/abs/2404.15048
Autor:
Termanova, A., Melnikov, Ar., Mamenchikov, E., Belokonev, N., Dolgov, S., Berezutskii, A., Ellerbrock, R., Mansell, C., Perelshtein, M.
Running quantum algorithms often involves implementing complex quantum circuits with such a large number of multi-qubit gates that the challenge of tackling practical applications appears daunting. To date, no experiments have successfully demonstrat
Externí odkaz:
http://arxiv.org/abs/2403.13486
Autor:
Abronin, V., Naumov, A., Mazur, D., Bystrov, D., Tsarova, K., Melnikov, Ar., Oseledets, I., Dolgov, S., Brasher, R., Perelshtein, M.
We introduce TQCompressor, a novel method for neural network model compression with improved tensor decompositions. We explore the challenges posed by the computational and storage demands of pre-trained language models in NLP tasks and propose a per
Externí odkaz:
http://arxiv.org/abs/2401.16367
Autor:
Perelshtein, M. R., Pakhomchik, A. I., Melnikov, Ar. A., Podobrii, M., Termanova, A., Kreidich, I., Nuriev, B., Iudin, S., Mansell, C. W., Vinokur, V. M.
Publikováno v:
Quantum 7, 1186 (2023)
Quantum algorithms are getting extremely popular due to their potential to significantly outperform classical algorithms. Yet, applying quantum algorithms to optimization problems meets challenges related to the efficiency of quantum algorithms train
Externí odkaz:
http://arxiv.org/abs/2305.14197
Autor:
Naumov, A., Melnikov, Ar., Abronin, V., Oxanichenko, F., Izmailov, K., Pflitsch, M., Melnikov, A., Perelshtein, M.
Neural networks have revolutionized many aspects of society but in the era of huge models with billions of parameters, optimizing and deploying them for commercial applications can require significant computational and financial resources. To address
Externí odkaz:
http://arxiv.org/abs/2303.16214
In this paper we investigate the workflow scheduling problem, a known NP-hard class of scheduling problems. We derive problem instances from an industrial use case and compare against several quantum, classical, and hybrid quantum-classical algorithm
Externí odkaz:
http://arxiv.org/abs/2205.04844
Autor:
Petrovnin, K. V., Perelshtein, M. R., Korkalainen, T., Vesterinen, V., Lilja, I., Paraoanu, G. S., Hakonen, P. J.
Publikováno v:
Advanced Quantum Technologies 6.1 (2023): 2200031
Quantum correlations are a vital resource in advanced information processing based on quantum phenomena. Remarkably, the vacuum state of a quantum field may act as a key element for the generation of multipartite quantum entanglement. In this work, w
Externí odkaz:
http://arxiv.org/abs/2203.09247
Autor:
Perelshtein, M. R., Kirsanov, N. S., Zemlyanov, V. V., Lebedev, A. V., Blatter, G., Vinokur, V. M., Lesovik, G. B.
Publikováno v:
Phys. Rev. Research 3, 013257 (2021)
The ubiquitous presence of shot noise sets a fundamental limit to the measurement precision in classical metrology. Recent advances in quantum devices and novel quantum algorithms utilizing interference effects are opening new routes for overcoming t
Externí odkaz:
http://arxiv.org/abs/2103.13143
Autor:
Perelshtein, M. R., Pakhomchik, A. I., Melnikov, A. A., Novikov, A. A., Glatz, A., Paraoanu, G. S., Vinokur, V. M., Lesovik, G. B.
State-of-the-art noisy intermediate-scale quantum devices (NISQ), although imperfect, enable computational tasks that are manifestly beyond the capabilities of modern classical supercomputers. However, present quantum computations are restricted to e
Externí odkaz:
http://arxiv.org/abs/2003.12770
We present a lumped-element Josephson parametric amplifier (JPA) utilizing a straightforward fabrication process involving a single electron beam lithography step followed by double-angle evaporation of aluminum and in-situ oxidation. The Josephson j
Externí odkaz:
http://arxiv.org/abs/1812.07621