  Transport phenomena represent a very interdisciplinary topic with
applications in many fields of science, such as physics, chemistry, and
biology. In this context, the possibility to design a perfectly controllable
experimental setup, where to tune and optimize its dynamics parameters, is a
challenging but very relevant task to emulate, for instance, the transmission
of energy in light harvesting processes. Here, we experimentally build a
scalable and controllable transport emulator based on optical fiber cavity
networks where the system noise parameters can be finely tuned while maximizing
the transfer efficiency. In particular, we demonstrate that disorder and
dephasing noise are two control knobs allowing one to play with constructive
and destructive interference to optimize the transport paths towards an exit
site. These optical setups, on one side, mimic the transport dynamics in
natural photosynthetic organisms and, on the other, are very promising
platforms to artificially design optimal nanoscale structures for novel, more
efficient, clean energy technologies.
