Quantum model certification cost tied to measurement correlation, not parameter count

A new arXiv paper examines how expensive it is to certify the Fisher information geometry of a trained variational quantum model, noting that stating the required shot budget is uncommon practice. The authors argue that the dominant cost driver is correlation between measurements rather than the number of parameters in the model. The work provides a way to quantify the number of shots needed to certify an empirical Fisher matrix to a given relative Frobenius error.