Fock state-enhanced expressivity of quantum machine learning modelsFock state-enhanced expressivity of quantum machine learning models Σύντομη Δημοσίευση σε Συνέδριο Conference Short Paper 2023-05-292021enWe 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.http://creativecommons.org/licenses/by/4.0/2021 Conference on Lasers and Electro-Optics Yee Gan Beng Leykam Daniel Angelakis Dimitrios Αγγελακης Δημητριος Institute of Electrical and Electronics Engineers Machine learning Laser modes Encoding Integrated circuit modeling Electrooptical waveguides Photonics