QLunch: Nikita Gourianov

Speaker: Nikita Gourianov

Title: Quantum-inspired advantage for turbulence simulation

Abstract: The past decade has seen much effort towards identifying and harnessing the computational power of quantum computers. However, this is a challenging quest and no practical quantum advantage has yet been demonstrated. An alternative is to look at “quantum-inspired” tensor network (TN) algorithms, which lie on the interface of quantum and classical computing and are thus able to leverage aspects of both. In this talk, I explain how the quantum-inspired nature of TNs can be exploited to vastly reduce computational and memory costs when simulating turbulent fluid flows. Numerical benchmarks are presented that demonstrate a TNs computational advantage over standard finite difference methods for 2D turbulence simulations and when simulating turbulence probability distributions. It is likely that similar quantum-inspired advantages can be found for simulating various other physical systems.