Frederik Wilde

Stochastic noise can be helpful for variational quantum algorithms

2025 · Physical Review A

Saddle points constitute a crucial challenge for first-order gradient descent algorithms. In notions of classical machine learning, they are avoided, for example, by means of stochastic gradient descent methods. In this work, we provide evidence …