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 ...

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 ...

For analytically solvable DU circuits, they found that when moving away from exactly solvable points, quantum results agreed with advanced classical tensor-network simulations, even at scales where ...