  At its microscopic level, the universe follows the laws of quantum mechanics.
Focusing on the quantum trajectories of particles as followed from the
hydrodynamical formulation of quantum mechanics, we propose that under general
requirements, quantum systems follow a disrupted version of the gradient
descent model, a basic machine learning algorithm, where the learning is
distorted due to the self-organizing process of the quantum system. Such a
learning process is possible only when we assume dissipation, i.e., that the
quantum system is open. The friction parameter determines the nonlinearity of
the quantum system. We then provide an empirical demonstration of the proposed
model.
