Delves into the fundamental limits of gradient-based learning on neural networks, covering topics such as binomial theorem, exponential series, and moment-generating functions.
Explores materials modelling, focusing on predicting and designing material properties through computation, including defect analysis, coherence time calculations, and quantum simulations.
