Abstract: Equivariant quantum graph neural networks (EQGNNs) offer a potentially powerful method to process graph data. However, existing EQGNN models only consider the permutation symmetry of graphs, ...
Performing permutations in software can facilitate more widespread use of secure information processing and faster multimedia processing, but current instruction set architectures, even when augmented ...
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