Abstract: Inspired by the Fleming–Viot stochastic process, we propose a parallel implementation with restart of variational quantum algorithms, with the aim of reducing the time spent by the algorithm ...

Abstract: Optimization algorithms play an important role in the training of machine learning models. Gradient-based optimizers such as Adam, RMSprop, and Stochastic Gradient Descent (SGD) are widely ...