DMC uses a random walk process to simulate the diffusion of particles. The algorithm starts with an initial distribution of walkers (representing the wave function) and evolves them over time. Walkers are subjected to a branching process where they can multiply or die based on their local energy. This process iterates until a steady-state distribution is reached, which corresponds to the ground state wave function and energy of the system.
