Zobrazeno 1 - 10
of 1 799
pro vyhledávání: '"P. A. Krotov"'
We investigated the optimal control of a continuous variable system, focusing on entanglement generation in an optomechanical system without utilizing Fock basis cutoffs. Using the Krotov algorithm to optimize the dynamics of the covariance matrix, w
Externí odkaz:
http://arxiv.org/abs/2404.16227
We apply the Krotov method for open and closed quantum systems with the objective of finding optimized controls to manipulate qubit/qutrit systems in the presence of the external environment. In the case of unitary optimization, the Krotov method is
Externí odkaz:
http://arxiv.org/abs/2208.03114
Akademický článek
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Autor:
Shetty, Tejas
A great number of quantum control papers have used one of the variants of the monotonically convergent variational control algorithm of Krotov (as described in Maday and Turinici (2003), Tannor et al. (1992), Zhu and Rabitz (1998), etc). The paper "S
Externí odkaz:
http://arxiv.org/abs/2006.16817
Autor:
Tang, Fei, Kopp, Michael
In their recent paper titled "Large Associative Memory Problem in Neurobiology and Machine Learning" [arXiv:2008.06996] the authors gave a biologically plausible microscopic theory from which one can recover many dense associative memory models discu
Externí odkaz:
http://arxiv.org/abs/2105.15034
Autor:
Goryainov, Sergey, Krotov, Denis
In Cayley graphs on the additive group of a small vector space over GF$(q)$, $q=2,3$, we look for completely regular (CR) codes whose parameters are new in Hamming graphs over the same field. The existence of a CR code in such Cayley graph $G$ implie
Externí odkaz:
http://arxiv.org/abs/2411.09698
Dense Associative Memories are high storage capacity variants of the Hopfield networks that are capable of storing a large number of memory patterns in the weights of the network of a given size. Their common formulations typically require storing ea
Externí odkaz:
http://arxiv.org/abs/2410.24153
Autor:
Achilli, Beatrice, Ventura, Enrico, Silvestri, Gianluigi, Pham, Bao, Raya, Gabriel, Krotov, Dmitry, Lucibello, Carlo, Ambrogioni, Luca
Generative diffusion processes are state-of-the-art machine learning models deeply connected with fundamental concepts in statistical physics. Depending on the dataset size and the capacity of the network, their behavior is known to transition from a
Externí odkaz:
http://arxiv.org/abs/2410.08727
Publikováno v:
Phys. Rev. A 90, 033628 (2014)
We study optimal quantum control of the dynamics of trapped Bose-Einstein condensates: The targets are to split a condensate, residing initially in a single well, into a double well, without inducing excitation; and to excite a condensate from the gr
Externí odkaz:
http://arxiv.org/abs/1409.2976
Autor:
I.V. Rasina, O. V. Danilenko
Publikováno v:
Известия Иркутского государственного университета: Серия "Математика", Vol 32, Iss 1, Pp 17-32 (2020)
In the late 1960s and early 1970s, a new class of problems appeared in the theory of optimal control. It was determined that the structure of a number of systems or processes is not homogeneous and can change over time. Therefore, new mathematical mo
Externí odkaz:
https://doaj.org/article/9133bfcd48b04b6a915f995b8da6ae34
