Quantum computing uses the physical principles of very small systems to develop platforms which can solve problems that are intractable on conventional supercomputers. There challenges not only in building required hardware but also identifying most promising application areas and developing corresponding quantum algorithms. The availability intermediate-scale noisy computers is now propelling ...

Machine learning is rapidly becoming a core technology for scientific computing, with numerous opportunities to advance the field of computational fluid dynamics. In this Perspective, we highlight some areas highest potential impact, including accelerate direct numerical simulations, improve turbulence closure modeling, and develop enhanced reduced-order models. We also discuss emerging machine...

.