Lecture: May 23, 2023

web.stanford.edu/class/ee392b


Prospects, Applications and Challenges for the Industrial Impact of Quantum Computing

Ryan Babbush, Head of Quantum Algorithms, Google

Bio

Ryan Babbush is a physicist and computer scientist working within Google's flagship quantum computing team, Quantum AI. Ryan leads Quantum AI's algorithms research group which focuses on envisioning, inventing, and analyzing the most impactful eventual applications of quantum computing. Ryan has been working with Google Quantum AI since it was founded in 2013 and joined the effort full time in 2015 upon receiving his PhD in Chemical Physics from Harvard University. While the team he manages focuses on topics ranging from quantum machine learning to cryptography, Ryan is best known for his work on developing some of the best scaling approaches to simulating quantum chemistry and materials science on quantum computers, with applications in domains such as drug design, battery development and nuclear fusion.

Abstract

This talk will give a high level introduction to the concept of quantum computing and the challenges ahead for realizing the technology. We will discuss the most anticipated commercial applications of quantum computing in Industrial AI, as well as the evolving landscape of how governments, start-ups and large companies are working together to build a quantum future.

Lecture Notes

Presentation slides (pdf)

Video recording of the lecture