This thesis presents the design, fabrication and experimental validation of a supercodnucting device, enabling parametric coupling between bosonic modes, with potential applications in Quantum Neural Networks. The central objective is to realize tunable interactions, resembling the weight tunability of synapses, by leveraging three-wave mixing in superconducting Josephson circuits. The main focus of this work was on improving the quality factor of coplanar waveguide resonators, achinving longer coherence time and so enhanced memory devices, addressing a wider range of harmonics to have a higher number of available bosonic states (resembling the neurons) for coupling and demonstrating parametric coupling. The project progressed through three generations of device development.