Quantum speedup for aeroscience and engineering

Peyman Givi, Andrew J. Daley, Dimitri Mavriplis, Mujeeb Malik

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

To provide new disruptive means to perform computations with increased complexity, high-performance computing (HPC) will need a radical departure from the conventional classical computing platform. Quantum computing (QC), which makes use of the unusual physical properties of microscopic objects to process information, is a particularly promising candidate to be this disruptive technology for a range of computational problems. There is growing evidence that quantum information science (QIS) in general and QC in particular are approaching an inflection point, with significant opportunities and challenges for various scientific and engineering fields. In the fields of aeroscience and engineering, there are important implications for various national missions and responsibilities, including mission planning, autonomy, air space management, and material design and advancing current HPC applications such as computational materials research, computational fluid dynamics (CFD), combustion, aerothermodynamics, and multidisciplinary design and optimization (MDAO).

Original languageEnglish
Pages (from-to)3715-3727
Number of pages13
JournalAIAA Journal
Volume58
Issue number8
Early online date1 Jul 2020
DOIs
Publication statusPublished - 31 Aug 2020

Keywords

  • high performance computing
  • large Eddy simulation
  • machine learning
  • annealing

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