Learning DNFs under product distributions via μ-biased quantum Fourier sampling

We show that DNF formulae can be quantum PAC-learned in polynomial time under product distributions using a quantum example oracle. The current best classical algorithm runs in superpolynomial time. Our result extends the work by Bshouty and Jackson (1998) that proved that DNF formulae are efficient...

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Bibliografski detalji
Glavni autori: Kanade, V, Rocchetto, A, Severini, S
Format: Journal article
Jezik:English
Izdano: Rinton Press 2019