Speaker
Di Fang
Quantum computing stands at the forefront of scientific innovation, captivating broad interest as a dynamically evolving field. Recent years have witnessed remarkable progress in developing and analyzing quantum algorithms for a wide range of scientific computing challenges. These applications include various numerical linear algebra tasks, solving high-dimensional differential equations, learning from quantum systems, and more.
In this summer school, we will introduce quantum algorithms and quantum computing from a numerical analysis and applied mathematics perspective. We will first go over fundamental principles and basics of quantum mechanics and quantum computing, introduce contemporary and essential techniques for constructing fault-tolerant quantum algorithms, and then delve into quantum algorithms of various tasks for scientific computing purposes, including quantum dynamics simulation, numerical linear algebra tasks, numerical differential equation, and quantum learning tasks. No prior background in quantum physics or quantum computing is assumed.
The summer school will be held in person at Duke University, Durham, North Carolina, from July 27 to August 7, 2026. Graduate and advanced undergraduate students with strong interests in applied mathematics, scientific computing, or quantum information are especially encouraged to apply. The summer school plans to provide travel and local expense support for all attendees.
Application: https://duke.kualibuild.com/app/68e014a29a7e95028b74c400/start
Deadline: March 1st, 2026