Preconditioning Natural and Second Order Gradient Descent in Quantum Optimization: A Performance Benchmark

Théo Lisart-Liebermann, Arcesio Castañeda Medina

The optimization of parametric quantum circuits is technically hindered by three major obstacles: the non-convex nature of the objective function, noisy gradient evaluations, and t…