Reconfigurable optical implementation of quantum complex networks

Network theory has played a dominant role in understanding the structure of complex systems and their dynamics. Recently, quantum complex networks, i.e. collections of quantum systems arranged in a non-regular topology, have been theoretically explored leading to significant progress in a multitude of diverse contexts including, e.g., quantum transport, open quantum systems, quantum communication, extreme violation of local realism, and quantum gravity theories. Despite important progress in several quantum platforms, the implementation of complex networks with arbitrary topology in quantum experiments is still a demanding task, especially if we require both a significant size of the network and the capability of generating arbitrary topology—from regular to any kind of non-trivial structure—in a single setup. Here we propose an all optical and reconfigurable implementation of quantum complex networks. The experimental proposal is based on optical frequency combs, parametric processes, pulse shaping and multimode measurements allowing the arbitrary control of the number of the nodes (optical modes) and topology of the links (interactions between the modes) within the network. Moreover, we also show how to simulate quantum dynamics within the network combined with the ability to address its individual nodes. To demonstrate the versatility of these features, we discuss the implementation of two recently proposed probing techniques for quantum complex networks and structured environments.JN, FG, RZ, SM and JP acknowledge financial support from the Horizon 2020 EU collaborative projects QuProCS (Grant Agreement No. 641277). FG and RZ acknowledge MINECO/AEI/FEDER through projects NoMaQ FIS2014-60343-P, QuStruct FIS2015-66860-P and EPheQuCS FIS2016-78010-P. NT is members of the Institut Universitaire de France. FA, VP, and NT acknowledge financial support from the European Union Grant QCUMbER (No. 665148). VP acknowledges financial support from Emergence Sorbonne Universités project PiCQuNet.Peer reviewe