Hyperentangled photon states on a chip

In order to achieve an optimal scalability, stability and compactness of complex quantum optical schemes based on a large number of elements, waveguide technology is of fundamental importance. Lately this technique has been implemented with experimental success with the introduction in the quantum domain of photonic integrated circuits built in various platforms and materials [1

Genetic algorithms to learn an unknown linear transformation

Integrated photonics enabled the capability to implement complex interferometers with a large number of modes. The applications of this experimental toolbox can be found in different quantum information tasks, including quantum walks and simulation [1], quantum metrology [2], up to the implementation of Boson Sampling [3-6], one of the most promising candidates to reach experimentally the regime where a quantum device solves a computational problem faster than its classical counterpart. Both from a fundamental aspect and for characterization purposes, it becomes crucial to identify tools allowing to learn the action of an unknown transformation