Figure 5
From: Fock state-enhanced expressivity of quantum machine learning models
Approximating Gaussian kernels with different resolutions \(\sigma = 0.25,0.33,0.50,1.00\) using the two mode linear quantum photonic circuit of Fig. 2(b) with different numbers of input photons \(n = 2, 4, 6, 8, 10\). Two photons are sufficient to approximate a low resolution kernel with \(\sigma = 1.00\) (curves for all photon numbers overlap), while higher resolutions require more photons to approximate. For example, a circuit with four photons can fit Gaussian kernels with \(\sigma = 0.50\), but not \(\sigma = 0.33\) or 0.25