Finding Solutions of the Navier‐Stokes Equations through Quantum Computing—Recent Progress, a Generalization, and Next Steps Forward. Issue 10 (7th September 2021)

• Record Type: Journal Article
• Authors: Gaitan, Frank
• Is Part Of: Advanced quantum technologies. Volume 4:Issue 10(2021)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2021-09-07
• Subjects: computational fluid dynamics -- magneto‐hydrodynamics -- Navier‐Stokes equations -- partial differential equations -- quantum algorithms -- quantum computing -- turbulence; Quantum theory -- Periodicals; Quantum computing -- Periodicals; Quantum chemistry -- Periodicals; Quantum electronics -- Periodicals; 537.5
• DOI: 10.1002/qute.202100055
• Languages: English
• ISSNs: 2511-9044

Abstract

Abstract: Efficient simulation of a quantum system's dynamics is expected to be an important application area for quantum computers as existing classical computers cannot do this. However, quantum systems are not unique in being hard to simulate. For example, classical nonlinear continuum systems and fields are governed by nonlinear partial differential equations whose solution is also hard for classical computers. Solving such equations is essential for many economically important industries/applications such as the aerospace industry, weather‐forecasting, fiber‐optics communication, and plasma magneto‐hydrodynamics. This raises the question: can a quantum computer speed‐up solving these equations? In this Review, a new quantum algorithm is described for solving nonlinear partial differential equations for which the answer is yes. First, a new quantum algorithm is discussed for solving the Navier‐Stokes nonlinear partial differential equations which govern the flow of a viscous fluid. Its construction, verification, and computational cost are described, and it is shown that a significant quantum speed‐up is possible. Its generalization to a quantum algorithm for solving nonlinear partial differential equations is described. The Review closes with a discussion of next steps forward. These new quantum algorithms open up a large new application area for quantum computing with substantial economic impact, including the trillion‐dollar aerospace industry. Abstract : Solving the Navier–Stokes equations of fluid dynamics is essential for many economically important industries such as the trillion (US) dollar aerospace industry. This Review describes a recently introduced quantum algorithm for solving these equations, and a generalization for nonlinear partial differential equations. Both algorithms provide a quadratic speedup, and open up a large new application area for quantum computing.