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Found 2 papers, 1 papers with code
On the Role of Entanglement and Statistics in Learning
We exhibit a class $C$ that gives an exponential separation between QSQ learning and quantum learning with entangled measurements (even in the presence of noise).
Supervised learning with quantum enhanced feature spaces
Both methods represent the feature space of a classification problem by a quantum state, taking advantage of the large dimensionality of quantum Hilbert space to obtain an enhanced solution.
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