The work focuses on constructing Grover's algorithm for continuous variables, which reduces error accumulation and implementation complexity compared with the discrete version. However, the existing formulation involves a projection operator onto phase space, making its implementation highly non-trivial. The algorithm requires nonlinear operations, which are proposed to be realised using so-called non-Gaussian nodes.