Expressibility-induced Concentration of Quantum Neural Tangent Kernels
Expressibility-induced Concentration of Quantum Neural Tangent Kernels
Abstract Quantum tangent kernel methods provide an efficient approach to analyzing the performance of quantum machine learning models in the infinite-width limit, which is of crucial importance in designing appropriate circuit architectures for certain learning tasks. Recently, they have been adapted to describe the convergence rate of training errors in …