Christopher J. Agostino

SPSA Hyperparameter Tuning for Variational Quantum Natural Language Inference

Training variational quantum models requires choosing between parameter-shift gradients, which are exact but cost $O(P)$ forward evaluations, and simultaneous perturbation stochastic approximation (SPSA), which uses only two samples but produces high-variance estimates that can degrade optimisation on small supervised...