Photonic quantum technologies hold great potential for fulfilling the need for fast and efficient processing of both classical and quantum data. The Continuous Variable (CV) regime is one of the primary approaches used to describe quantum systems or perform quantum computation in quantum optics, particularly in the context of quantum information. Quantum reservoir computing is an emerging approach that has demonstrated its potential in both classical and quantum machine learning tasks. In the CV approach, information is encoded in the quadrature of the field. It has been shown that, in the CV regime, Gaussian states enable universal reservoir computing, and that quantum Gaussian resources, such as squeezed states of light, offer a greater information capacity than classical states.

I will describe the experimental implementation of CV multimode quantum states and their application in CV-encoded reservoir computing protocols. This consists of three main steps: implementing a classical photonics-based reservoir computing protocol, characterizing a single-pass squeezing source, and encoding classical data in a multimode quantum system to execute quantum protocols.