Learn to solve quantum mechanics problems using Gridap, a Julia-based finite element library, through three comprehensive tutorials covering numerical methods for partial differential equations. Explore practical implementations of quantum mechanical systems using modern computational tools, with hands-on examples demonstrating how to set up and solve quantum problems numerically. Master the fundamentals of applying finite element methods to quantum mechanics, including boundary conditions, mesh generation, and solution visualization within the Gridap framework. Gain expertise in translating theoretical quantum mechanical concepts into computational solutions, making this essential knowledge for researchers and students working at the intersection of quantum physics and numerical analysis.