Quantum walks sound abstract, but they sit at the center of a very concrete race: who will harness quantum mechanics to solve problems that overwhelm today’s most powerful supercomputers. Instead of ...

Abstract: Choosing the number of Monte Carlo samples to use in a probabilistic resource adequacy assessment requires striking a balance between computational expense and the statistical precision of ...

Abstract: In the context of Bayesian inversion for scientific and engineering modeling, Markov chain Monte Carlo (MCMC) sampling strategies have become the benchmark due to their flexibility and ...