Abstract: A random number generator includes an input receiving unit configured to receive an input for designating a probability distribution of random numbers, a model generation unit configured to generate, based on the probability distribution, an Ising model using n binary variables (n is an integer equal to or greater than 2) each of which is assigned to a respective one of n subintervals obtained by dividing a numerical range of random numbers, an annealing result acquisition unit configured to acquire values of the n binary variables, the values being an execution result of quantum annealing for the Ising model, and a random number output unit configured to output, as a random number, a value included in the subinterval assigned to the binary variable whose value, which has been obtained as the execution result, is equal to a predetermined value.