Tensor network methods provide a structured approach to representing and manipulating high-dimensional data by decomposing global information into interconnected low-rank tensors. Originating in the ...
Deep machine learning has achieved remarkable success in various fields of artificial intelligence, but achieving both high interpretability and high efficiency simultaneously remains a critical ...
Through a new survey, researchers show how mathematical representations named 'tensor trains' can help to capture and simulate the dynamics of evolving quantum systems across a range of different ...
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