Pablo Díez-Valle

QAOA pseudo-Boltzmann sampling beyond the rapid-mixing regime on superconducting quantum computers

The quantum approximate optimization algorithm (QAOA) is a variational quantum algorithm developed for solving combinatorial optimization problems. It has also been shown to generate pseudo-Boltzmann distributions, with potential applications in various fields of computer science and computational physics. In this work...