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Conference on Lasers and Electro-Optics

Fock State-enhanced Expressivity of Quantum Machine Learning Models

Beng Yee Gan, Daniel Leykam, Dimitris G. Angelakis

Published Jan 1, 2021• 1 citation
Publisher

Abstract

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.
DOI
10.1364/cleo_at.2021.jw1a.73

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