Το έργο με τίτλο Fock state-enhanced expressivity of quantum machine learning models από τον/τους δημιουργό/ούς Yee Gan Beng, Leykam Daniel, Angelakis Dimitrios διατίθεται με την άδεια Creative Commons Αναφορά Δημιουργού 4.0 Διεθνές
Βιβλιογραφική Αναφορά
G. B. Yee, D. Leykam and D. G. Angelakis, "Fock state-enhanced expressivity of quantum machine learning models," presented at the 2021 Conference on Lasers and Electro-Optics (CLEO), San Jose, CA, USA, 2021.
We propose quantum classifiers based on encoding classical data onto Fock states using tunable beam-splitter meshes, similar to the boson sampling architecture. We show that higher photon numbers enhance the expressive power of the circuit.