Topological Invariant Prediction via Deep Learning
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DOI: 10.3938/jkps.76.401
Abstract: Using a deep neural network model, we show that predicting an accurate topological invariant is possible from one-dimensional Hamiltonians, whose topological invariant is the winding number. Given a set of Hamiltonians in momentum space as… read more here.
Keywords: deep neural; topological invariant; invariant prediction; invariant ... See more keywords