Quantum feature maps for graph machine learning on a neutral atom quantum processor
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DOI: 10.1103/physreva.107.042615
Abstract: Using a quantum processor to embed and process classical data enables the generation of correlations between variables that are inefficient to represent through classical computation. A fundamental question is whether these correlations could be harnessed… read more here.
Keywords: quantum feature; quantum; neutral atom; feature ... See more keywords