Speaker
Zeguan Wu
(University of Pittsburgh)
Description
Quantum computing relies heavily on the efficient manipulation of linear algebraic structures. This talk discusses the application of quantum linear algebra across two major domains: continuous optimization and differential equations. We demonstrate how quantum linear algebra can be utilized to solve these problems efficiently, discussing both the algorithmic construction and the theoretical analysis required to establish quantum advantage.
Author
Zeguan Wu
(University of Pittsburgh)
Co-authors
Marc Vuffrey
(Los Alamos National Laboratory)
Xiu Yang
(Lehigh University)
Tamás Terlaky
(Lehigh University)
Junyu Liu
(University of Pittsburgh)