Correlator convolutional neural networks as an interpretable architecture for image-like quantum matter data
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DOI: 10.1038/s41467-021-23952-w
Abstract: Image-like data from quantum systems promises to offer greater insight into the physics of correlated quantum matter. However, the traditional framework of condensed matter physics lacks principled approaches for analyzing such data. Machine learning models… read more here.
Keywords: image; correlator convolutional; image like; physics ... See more keywords