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Quantum Geometry of Data

Abanov, Alexander G. et al.
arXiv (All) · Papers
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machine-learningquantum-physics
We demonstrate how Quantum Cognition Machine Learning (QCML) encodes data as quantum geometry. In QCML, features of the data are represented by learned Hermitian matrices, and data points are mapped to states in Hilbert space. The quantum geometry description endows the dataset with rich geometric a
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