University of Waterloo
200 University Avenue West
Waterloo, Ontario, Canada N2L 3G1
Phone: (519) 888-4567 ext 32215
Fax: (519) 746-8115
Associate Professor & Canada Research Chair in Computational Many-Body Physics
Department of Physics and Astronomy, University of Waterloo
The power of quantum computers comes from the collective behavior of infinitely complex assemblies of interacting qubits. This complexity is reminiscent of the “curse of dimensionality” commonly encountered in machine learning. Despite this curse, the machine learning community has developed techniques with remarkable abilities to interpret complex sets of real-world data, such as images or natural languages, on today's conventional computers. Here, I show that modern neural network architectures for machine learning can be used to identify simple (and not so simple) patterns of correlations in arrays of interacting bits and qubits. From this, I show how stochastic neural networks can be used to to efficiently represent quantum wavefunctions on a classical computer. This ability enables a host of machine learning applications in error correction and quantum state tomography, which will be used for designing near-term quantum computers and other devices.
The University of Waterloo acknowledges that much of our work takes place on the traditional territory of the Neutral, Anishinaabeg and Haudenosaunee peoples. Our main campus is situated on the Haldimand Tract, the land promised to the Six Nations that includes six miles on each side of the Grand River. Our active work toward reconciliation takes place across our campuses through research, learning, teaching, and community building, and is centralized within our Indigenous Initiatives Office.