Quantum Machine Learning D
Aalto University
<p>Various topics of interest from quantum computing and quantum machine learning, inlcuding but not limited to,</p><ul><li> Adiabatic Computing </li><li> Hybrid Methods</li><li> Generative Models (e.g., GANs, VAEs, etc.)</li><li> Quantum Sampling Methods</li><li> Quantum analogues of machine learning problems (clustering, classification, reinforcement learning, etc.)</li><li> Applications of Quantum Methods (in Quantum Chemistry, NLP, Drug Discovery, Finance, etc.)</li><li> Theory including information bottleneck, generalization, barren plateaus, lower bounds, quantum speedup, inductive bias</li></ul><p> </p>
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