This workshop will bring together a group of young trendsetters working at the frontier of machine learning and quantum information. The workshop will feature two days of talks, and ample time for participants to interact and form new collaborations in the inspiring environment of the Perimeter Institute. Topics will include machine learning, quantum field theory, quantum information, and unifying theoretical concepts.
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Quantum adiabatic speedup on a class of combinatorial optimization problems
Madelyn Cain - Harvard University , Madelyn Cain
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Towards an artificial Muse for new ideas in Quantum Physics
Mario Krenn - Max Planck Institute for the Science of Light
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Self-Correcting Quantum Many-Body Control using Reinforcement Learning with Tensor Networks
Friederike Metz - L'Ecole Polytechnique Federale de Lausanne (EPFL)
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A Study of Neural Network Field Theories
Anindita Maiti - Perimeter Institute for Theoretical Physics
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Quantum hypernetworks
Juan Carrasquilla - ETH Zurich
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Representing quantum states with spiking neural networks
Stefanie Czischek - University of Ottawa , Stefanie Czischek
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Adaptive Quantum State Tomography with Active Learning
Hannah Lange - Ludwig-Maximilians-Universität München (LMU)
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Gibbs Sampling of Periodic Potentials on a Quantum Computer
Arsalan Motamedi - University of Waterloo
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QuEra - quantum computing with neutral atoms:
Anna Knörr - Harvard University