معرفی
Nathan Wiebe is an Affiliate Assistant Professor at the University of Washington's Department of Physics (College of Arts & Sciences) and holds a joint appointment at Pacific Northwest National Labs. His research focuses on quantum computing applications in machine learning and simulation of physical/chemical systems.
Education: BSc (Simon Fraser University, 2002), MSc (Simon Fraser University, 2005), PhD (University of Calgary, 2011). Career highlights include postdoctoral work at University of Waterloo and 6 years at Microsoft Research before joining UW in 2019.
Key research areas include quantum algorithms for deep learning, quantum simulations using linear-combinations of unitaries, and quantum Hamiltonian learning. His work pioneers methods like particle filters for quantum device characterization and near-optimal time-dependent system simulations.
Recent publications include foundational papers on quantum chemistry simulations and quantum machine learning frameworks. Maintains an active Google Scholar profile with extensive citations.
No formal advisees listed, though involved in undergraduate research mentoring programs. Active in departmental initiatives and lab collaborations across institutions.
