1. quantum algorithms for computational science

Daniel Park

KAIST, Korea

8 October 2020 Thu 4 pm

                                      IBS Center for Theoretical Physics of Complex Systems (PCS), Administrative Office (B349), Theory Wing, 3rd floor

                                      Expo-ro 55, Yuseong-gu, Daejeon, South Korea, 34126 Tel: +82-42-878-8633                     

Advantages in several fields of research and industry are expected with the rise of quantum computers. In this talk, I will discuss how quantum computers can be used in computational science. In particular, I will present quantum algorithms for machine learning and stochastic simulations. First, I will present a quantum algorithm to perform supervised binary classification, which is an important example of pattern analysis. The second part of the talk will present a quantum algorithm for simulating discrete stochastic processes, which in turn has broad applications in various disciplines.