The authors train a variational quantum Hopfield associative memory with an autoencoder and K-Means clustering to classify MovieLens 1M users, reporting ROC 0.9795 in ideal simulation and 0.9177 under noise.
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Collaborative Filtering using Variational Quantum Hopfield Associative Memory
The authors train a variational quantum Hopfield associative memory with an autoencoder and K-Means clustering to classify MovieLens 1M users, reporting ROC 0.9795 in ideal simulation and 0.9177 under noise.