We posted the paper on arXiv: https://arxiv.org/abs/2305.00688.

Creating an expressive quantum machine learning model is particularly challenging when utilizing classical data. We demonstrate that Kerr-nonlinear Parametric Oscillators (KPOs) offer an elegant solution for achieving expressive quantum machine learning without additional resource allocation.