Preprint
Oct 2026
Readout Dependent Parameter Identifiability of Quantum Kernels
A circuit parameter can change measured features without changing their projected Gaussian kernel. We characterize this lost dependence and distinguish recovery by metric design from nonlinear feature expansion. With analytic feature coefficients, a fixed finite data basis affinely independent on the input domain, a fi...
H. K. Park, Jahoon Jeong, Joonkyo Shim et al.
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