Quantum algorithms

Probability density function (PDF) methods have been useful in describing many physical aspects of turbulent mixing. In applications of these methods, modeled PDF transport equations are commonly simulated via classical Monte Carlo techniques, which provide estimates of moments of the PDF at arbitrary accuracy. In this talk, I will describe recently developed techniques in quantum computing and quantum enhanced measurements (quantum metrology) and use them to construct a quantum algorithm that accelerates the computation of such estimates. I will show that the...