The dynamic field of quantum physics and artificial intelligence is expanding across both academic and industrial landscapes. This mini-course offers an introduction to computational techniques currently utilized in the quantum sector, highlighting non-academic career paths for individuals interested in quantum physics and machine learning. The program features two lecture series: one on generative modeling - covering topics (such as restricted Boltzmann machines, recurrent neural networks, and transformers) - and the other on quantum machine learning algorithms. Participants will also benefit from practical coding tutorials, networking opportunities, and related events about the landscape of Quantum and AI.
Land Acknowledgement
In the spirit of understanding and learning from what has come before, Perimeter Institute respectfully acknowledges that we are located on the traditional territory of the Attawandaron, Anishnaabeg, and Haudenosaunee peoples.
Perimeter is situated on the Haldimand Tract, land promised to Six Nations, which includes six miles on each side of the Grand River. As settlers, we thank all the generations of people who have taken care of this land for thousands of years. We are connected to our collective commitment to make the promise and the challenge of Truth and Reconciliation real in our communities.
Format results
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Opening Remarks
PIRSA:24050051 -
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Restricted Boltzmann Machines (RBMs)
Mohamed Hibat Allah University of Waterloo
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Recurrent Neural Networks (RNNs)
Megan Schuyler Moss Perimeter Institute for Theoretical Physics
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