To fully characterize a quantum state of light, repeated measurements involving a phase reference, eg. homodyne detection, are required. The Quantum Fluids of Light team has recently begun an ambitious project to realize a quantum reservoir processor capable of fully characterizing quantum states of light from intensity measurements only, eliminating the need for a phase reference. To achieve this goal, we have begun implementing a quantum neural network of (exciton-)polaritons - strongly interacting quasiparticles which are part-light, part-matter. Polaritons are ideal for a reservoir computing architecture, as not only do they exhibit rich dynamics governed by the Gross-Pitaevski equation (a phase transition, bistability, and famously, superfluidity), they are themselves quantum objects. The intern will work in close collaboration with a post-doctoral researcher to study the response of the polariton network to excitation by different optical states, while simultaneously beginning to implement a squeezed source resonant with the polaritons, with the prospective to join the team as a PhD student in Fall of 2025. As the work will take place within the context of a European project, the student will have the opportunity to work in a fast-moving, exciting, and international collaboration, whose stated goal is to realize a disruptive quantum technology.