Abstract
In this joint paper with The Hartree Centre and HSBC, we show how different sources of random numbers influence the outcomes of Monte Carlo simulations. We compare industry-standard pseudo-random number generators (PRNGs) to a quantum random number generator (QRNG) and show, using examples of Monte Carlo simulations with exact solutions, that the QRNG yields statistically significantly better approximations than the PRNGs.
Published in Elsevier's Computer Physics Communications journal (Volume 323, June 2026, 110082) available here.