Provable and scalable quantum Gaussian processes for quantum learning

ArXi:2605.00099v1 Announce Type: cross Despite rapid recent advances in quantum machine learning, the field is in many ways stuck. Existing approaches can exhibit serious limitations, and we still lack learning frameworks that are simple, interpretable, scalable, and naturally suited to quantum data. To address this, here we