Quantum Computing for Fluid Dynamics
Developing quantum-computing approaches for fluid-dynamics problems at NYU.
At New York University, I work with Prof. Katepalli R. Sreenivasan on quantum computing for fluid dynamics (QCFD). The project explores how quantum algorithms can represent and solve challenging problems in fluid mechanics.
Conceptual visualization of quantum representations meeting multiscale fluid motion.
The work brings together turbulence, numerical analysis, and quantum computation, with the goal of identifying fluid-dynamics problems where quantum methods can offer a meaningful advantage.
Current focus
- Quantum formulations of fluid-dynamics problems
- Numerical benchmarks against classical solvers
- Algorithms that remain physically interpretable and computationally practical