The is a four-well 1D potential that features an energy barrier at x = 0. We test Vendi sampling's ability to both discover these wells and provide unbiased equilibrium sampling statistics. We initialized the replicas uniformly from one side of the central energy barrier (∼ U[0, 1]). We performed this experiment 10 times for each choice of replica size, comparing against Replica sampling with an integration step of η = 10 -4 for both samplers. Hyperparameters were selected via a grid search over learning rate ν = {1, 10, 40, 100} and linear annealing rates of α = {0.01, 0.025, 0.1}, as detailed in section 2.2. On all replica sizes tested here, the grid search yielded ν = 100, α = 0.1. Free energy difference across boundary over time for both samplers. In all cases, the shaded region reflects uncertainty as estimated using the standard deviation across n = 10 simulations after 10 3 burn-in steps. We observe that Vendi sampling rapidly identifies modes on the opposite side of the energy barrier (Fig. & Fig. ). After 10, 000 time steps, Replica sampling poorly characterizes the left-most mode, while Vendi sampling is already able to approximate it relatively well.