AI RESEARCH
Quantum Reservoir Computing and Risk Bounds
arXiv CS.LG
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ArXi:2501.08640v2 Announce Type: replace We propose a way to bound the generalisation errors of several classes of quantum reservoirs using the Rademacher complexity. We give specific, parameter-dependent bounds for two particular quantum reservoir classes. We analyse how the generalisation bounds scale with growing numbers of qubits. Applying our results to classes with polynomial readout functions, we find that the risk bounds converge in the number of