Title: Quantum End-to-end Solvers for Partial Differential Equations Speaker:  Mahathi Vempati (QuICS) Date & Time:  October 23, 2025, 9:30am Where to Attend:  ATL 3100A and Virtual Via Zoom: https://umd.zoom.us/j/7474810823
Solving partial differential equations seems to be a useful application of quantum computing because the solutions usually involve doing linear algebra on large sparse matrices which can be encoded into quantum operations. However, for several PDE's it is unclear if quantum computing can provide an advantage in solving the end-to-end problem. In this proposal, we discuss an end-to-end quantum algorithm for the diffusion eigenvalue problem, a type of second-order elliptic PDE. We then discuss potential for quantum advantage, as well as other PDE's to analyze in which one may see an advantage.
*We strongly encourage attendees to use their full name (and if possible, their UMD credentials) to join the zoom session.*