Zobrazeno 1 - 10
of 77
pro vyhledávání: '"Reddy, Sohail"'
Autor:
Reddy, Sohail, Fairbanks, Hillary
This work presents an efficient approach for accelerating multilevel Markov Chain Monte Carlo (MCMC) sampling for large-scale problems using low-fidelity machine learning models. While conventional techniques for large-scale Bayesian inference often
Externí odkaz:
http://arxiv.org/abs/2405.11179
This paper presents a data-driven approach to learn latent dynamics in superconducting quantum computing hardware. To this end, we augment the dynamical equation of quantum systems described by the Lindblad master equation with a parameterized source
Externí odkaz:
http://arxiv.org/abs/2401.09822
Autor:
Reddy, Sohail
Robust control of a quantum system is essential to utilize the current noisy quantum hardware to their full potential, such as quantum algorithms. To achieve such a goal, systematic search for an optimal control for any given experiment is essential.
Externí odkaz:
http://arxiv.org/abs/2312.10233
This work presents IMplicit-EXplicit (IMEX) formulations for discontinuous Galerkin (DG) discretizations of the compressible Euler equations governing non-hydrostatic atmospheric flows. In particular, we show two different IMEX formulations that not
Externí odkaz:
http://arxiv.org/abs/2212.06247
Autor:
Reddy, Sohail, Tissaoui, Yassine, Alves, Felipe A. V. de Braganca, Marras, Simone, Giraldo, Francis X.
This study aims to identify the properties, advantages, and drawbacks of some common (and some less common) sub-grid scale (SGS) models for large eddy simulation of low Mach compressible flows using high order spectral elements. The models investigat
Externí odkaz:
http://arxiv.org/abs/2204.03160
Autor:
Reddy, Sohail
Publikováno v:
Journal of Applied Physics; 6/14/2024, Vol. 135 Issue 22, p1-14, 14p
Publikováno v:
In Journal of Computational Physics 15 October 2023 491
Autor:
Reddy, Sohail, Dulikravich, George S.
Publikováno v:
In Applied Soft Computing Journal November 2022 129