Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Das, Adway"'
Autor:
Vallejo-Fabila, Isaias, Kumar-Das, Adway, Zarate-Herrada, David A., Matsoukas-Roubeas, Apollonas S., Torres-Herrera, E. Jonathan, Santos, Lea F.
We investigate how the dynamical fluctuations of many-body quantum systems out of equilibrium can be mitigated when they are opened to a dephasing environment. We consider the survival probability (spectral form factor with a filter) evolving under d
Externí odkaz:
http://arxiv.org/abs/2406.14647
Autor:
Das, Adway Kumar, Cianci, Cameron, Cabral, Delmar G. A., Zarate-Herrada, David A., Pinney, Patrick, Pilatowsky-Cameo, Saúl, Matsoukas-Roubeas, Apollonas S., Batista, Victor S., del Campo, Adolfo, Torres-Herrera, E. Jonathan, Santos, Lea F.
In this work, the term ``quantum chaos'' refers to spectral correlations similar to those found in the random matrix theory. Quantum chaos can be diagnosed through the analysis of level statistics using e.g.~the spectral form factor, which detects bo
Externí odkaz:
http://arxiv.org/abs/2401.01401
Publikováno v:
Phys. Rev. B 109, 064206 (2024)
In various chaotic quantum many-body systems, the ground states show non-trivial athermal behavior despite the bulk states exhibiting thermalization. Such athermal states play a crucial role in quantum information theory and its applications. Moreove
Externí odkaz:
http://arxiv.org/abs/2311.10150
Traditional methods of collecting user feedback through transit surveys are often time-consuming, resource intensive, and costly. In this paper, we propose a novel NLP-based framework that harnesses the vast, abundant, and inexpensive data available
Externí odkaz:
http://arxiv.org/abs/2310.07086
Deep-learning models for traffic data prediction can have superior performance in modeling complex functions using a multi-layer architecture. However, a major drawback of these approaches is that most of these approaches do not offer forecasts with
Externí odkaz:
http://arxiv.org/abs/2307.05946
Deep learning (DL) methods have outperformed parametric models such as historical average, ARIMA and variants in predicting traffic variables into short and near-short future, that are critical for traffic management. Specifically, recurrent neural n
Externí odkaz:
http://arxiv.org/abs/2307.04954
Publikováno v:
Phys. Rev. Lett. 131, 166401 (2023)
Unlike the well-known Mott's argument that extended and localized states should not coexist at the same energy in a generic random potential, we provide an example of a nearest-neighbor tight-binding disordered model which carries both localized and
Externí odkaz:
http://arxiv.org/abs/2305.02351
Autor:
Das, Adway Kumar, Ghosh, Anandamohan
Publikováno v:
Physical Review E 106, 064112 (2022)
Centrosymmetry often mediates Perfect State Transfer (PST) in various complex systems ranging from quantum wires to photosynthetic networks. We introduce the Deformed Centrosymmetric Ensemble (DCE) of random matrices, $H(\lambda) \equiv H_+ + \lambda
Externí odkaz:
http://arxiv.org/abs/2212.04682
Autor:
Das, Adway Kumar, Ghosh, Anandamohan
Publikováno v:
J. Stat. Mech. (2022) 063101
The competition between strength and correlation of coupling terms in a Hamiltonian defines numerous phenomenological models exhibiting spectral properties interpolating between those of Poisson (integrable) and Wigner-Dyson (chaotic) ensembles. It i
Externí odkaz:
http://arxiv.org/abs/2211.09338
Autor:
Das, Adway Kumar, Ghosh, Anandamohan
Publikováno v:
Phys. Rev. E 105, 054121, 12 May 2022
Matrix models showing chaotic-integrable transition in the spectral statistics are important for understanding Many Body Localization (MBL) in physical systems. One such example is the $\beta$-ensemble, known for its structural simplicity. However, e
Externí odkaz:
http://arxiv.org/abs/2112.11910