  The need of discriminating between different quantum states is a fundamental
issue in Quantum Information and Communication. The actual realization of
generally optimal strategies in this task is often limited by the need of
supplemental resources and very complex receivers. We have experimentally
implemented two discrimination schemes in a minimum-error scenario based on a
receiver featured by a network structure and a dynamical processing of
information. The first protocol implemented in our experiment, directly
inspired to a recent theoretical proposal, achieves binary optimal
discrimination, while the second one provides a novel approach to multi-state
quantum discrimination, relying on the dynamical features of the network-like
receiver. This strategy exploits the arrival time degree of freedom as an
encoding variable, achieving optimal results, without the need for supplemental
systems or devices. Our results further reveal the potential of dynamical
approaches to Quantum State Discrimination tasks, providing a possible starting
point for efficient alternatives to current experimental strategies.
