![]() Current methods for solving such systems involve numerically approximating the governing equations of flows, i.e., the Navier-Stokes (NS) equation. In particular, turbulent transport in many fluid flow systems underlies numerous applications such as atmospheric and climate dynamics, Inertial Confinement Fusion (ICF), combustion hydrodynamics, etc., that are of interest to academia, industry and research laboratories. We analyze the continuum solutions obtained both qualitatively and quantitatively as well as their sensitivities to the particular solution selection scheme.įluids are ubiquitous in nature and studying their dynamical properties form the core research focus for many applications. Since the DWave annealer returns multiple states sampling the energy landscape of the problem, we explore multiple solution selection strategies to approximate the solution of the problem. For our experiments, we start with a well-studied one-dimensional simple flow problem, and provide a framework to convert such problems in continuum to a form amenable for deployment on such quantum annealers. This paper explores the suitability of upcoming novel computing technologies, particularly adiabatic annealing based quantum computers, to solve fluid dynamics problems that form a critical component of several science and engineering applications. 3Computational Physics and Methods (CCS-2), Los Alamos National Laboratory, Los Alamos, NM, United States.2Computational Earth Science Group (EES-16), Los Alamos National Laboratory, Los Alamos, NM, United States.1Computer, Computational and Statistical Sciences (CCS-7), Los Alamos National Laboratory, Los Alamos, NM, United States. ![]() Navamita Ray 1*, Tirtha Banerjee 2 †, Balu Nadiga 3 and Satish Karra 2
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