My research focuses on quantum algorithm development focusing on algorithms for simulating physical systems, machine learning, optimization and characterization of physical systems.
- Yale Distinguished Lecture Award 2022
- Biamonte, J., Wittek, P., Pancotti, N., Rebentrost, P., Wiebe, N., & Lloyd, S. (2017). Quantum machine learning. Nature, 549(7671), 195-202.
- Childs, A. M., & Wiebe, N. (2012). Hamiltonian simulation using linear combinations of unitary operations. Quantum Information & Computation, 12(11-12), 901-924.
- Gilyén, A., Su, Y., Low, G. H., & Wiebe, N. (2019, June). Quantum singular value transformation and beyond: exponential improvements for quantum matrix arithmetics. In Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing (pp. 193-204).
CIFAR is a registered charitable organization supported by the governments of Canada, Alberta and Quebec, as well as foundations, individuals, corporations and Canadian and international partner organizations.