A five-qubit quantum recommender system, built from SVD compression, QAOA feature selection, and a quantum semi-random forest, reportedly matches full-feature baselines on ICM-150/500.
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Quantum Semi-Random Forests for Qubit-Efficient Recommender Systems
A five-qubit quantum recommender system, built from SVD compression, QAOA feature selection, and a quantum semi-random forest, reportedly matches full-feature baselines on ICM-150/500.