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Black and white photo of Nathan Wiebe wearing a black tshirt with black curtains behind him

Nathan Wiebe

Appointment

Fellow

Quantum Information Science

Connect

Google Scholar

About

My research focuses on quantum algorithm development focusing on algorithms for simulating physical systems, machine learning, optimization and characterization of physical systems.

Awards

  • Yale Distinguished Lecture Award 2022

Relevant Publications

  • 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).

Institution

Pacific Northwest National Laboratory

University of Toronto

Department

Department of Experimental Psychology; Wellcome Centre for Human Neuroimaging; Department of Computer Science

Education

  • PhD (Physics), University of Calgary
  • MSc (Physics) Simon Fraser University
  • BSc (Mathematical Physics) Simon Fraser University

Country

United Kingdom

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The Canadian Institute for Advanced Research (CIFAR) is a globally influential research organization proudly based in Canada. We mobilize the world’s most brilliant people across disciplines and at all career stages to advance transformative knowledge and solve humanity’s biggest problems, together. We are supported by the governments of Canada, Alberta and Québec, as well as Canadian and international foundations, individuals, corporations and partner organizations.

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