On the Viability of Quantum Annealers to Solve Fluid Flows

Journal Article · 03 July 2022 · Frontiers in Mechanical Engineering

DOI: https://doi.org/10.3389/fmech.2022.906696 · OSTI ID:1874755

Ray, Navamita; Banerjee, Tirtha; Nadiga, Balu; Karra, Satish

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. 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. 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. We analyze the continuum solutions obtained both qualitatively and quantitatively as well as their sensitivities to the particular solution selection scheme.

• Research Organization: Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
• Sponsoring Organization: USDOE; USDOE National Nuclear Security Administration (NNSA); USDOE Office of Science (SC), Biological and Environmental Research (BER); USDOE Office of Science (SC). Advanced Scientific Computing Research (ASCR)
• Grant/Contract Number: 89233218CNA000001
• OSTI ID: 1874755
• Report Number(s): LA-UR-21-29172; 906696
• Journal Information: Frontiers in Mechanical Engineering, Journal Name: Frontiers in Mechanical Engineering Vol. 8; ISSN 2297-3079
• Publisher: Frontiers Media SACopyright Statement
• Country of Publication: Switzerland
• Language: English