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Peter Wittek

Assistant Professor at University of Toronto

Major works

P. Huembeli, A. Dauphin, P. Wittek. Identifying Quantum Phase Transitions with Adversarial Neural Networks. Physical Review B, 97:134109, 2018.

J. Biamonte, P. Wittek, N. Pancotti, P. Rebentrost, N. Wiebe, and S. Lloyd. Quantum Machine Learning. Nature, 549, 195-202, 2017.

A. Monràs, G. Sentís, and P. Wittek. Inductive supervised quantum learning. Physical Review Letters, 118:190503, 2017.

P. Wittek and C. Gogolin. Quantum Enhanced Inference in Markov Logic Networks. Scientific Reports, 7:45672, 2017.

P. Wittek. Quantum Machine Learning: What Quantum Computing Means to Data Mining. Academic Press, New York, NY, USA, August 2014.

About Me

Peter Wittek is an Assistant Professor in the University of Toronto and an affiliate in the Vector Institute for Artificial Intelligence the Perimeter Institute for Theoretical Physics. He obtained his PhD from the National University of Singapore. His research explores the synergies between artificial intelligence, machine learning, quantum information theory, and quantum computing. As the Academic Director of the Quantum Program in the Creative Destruction Lab, he oversees two dozen quantum software startups a year that exploit contemporary quantum technologies in a commercial setting.

Courses and Programs taught by Peter Wittek


Quantum Machine Learning

1 course