Abstract: In this talk, I will present the development of efficient, scalable, and robust quantum algorithms to address challenging problems in chemical physics. In the first part, I will highlight the characteristics of chemical physics problems and discuss why they can be difficult to solve on classical computers. I will argue quantum computers and quantum resources are helpful to address these challenges. In the second part, I will present recent results on a unifying perspective of quantum algorithms via quantum signal processing, as well as progress on improving its efficiency and robustness in the presence of noise. I will highlight one example of leveraging small quantum computers to solve large molecular electronic structure problems via quantum embedding, where a quadratic speedup can be achieved by employing state-of-the-art quantum subroutines including the quantum swap test and quantum amplitude amplification. I will also discuss prospects of leveraging additional quantum resources for quantum sensing and quantum engineering.

Short Bio: Yuan Liu is currently a postdoc in the Research Laboratory of Electronic at MIT. He is interested in the intersection of quantum information science, theoretical chemistry, and chemical physics. Some of his recent work includes continuous-variable quantum computation, algorithmic quantum error-correction, and quantum sensing. Yuan obtained his doctorate in Chemical Physics and a master's degree in Electrical Engineering from Brown University. He finished his undergraduate study in Physics at Tsinghua University.