Prior efforts to develop hardware for optimization problems have involved Ising machines, a category of hardware solvers that incorporate the Ising model to find the absolute or approximate “ground ...

Researchers at UCLA and UC Riverside have demonstrated a new approach that overcomes these hurdles to solve some of the most ...

We investigate risk-averse stochastic optimization problems with a risk-shaping constraint in the form of a stochastic-order relation. Both univariate and multivariate orders are considered. We extend ...

ExxonMobil and IBM's researchers have been working together to find quantum algorithms that could manage the global fleet of merchant ships.

The big difference is that the formal mathematics behind solving maximum weight independent set problems is much more thoroughly worked out. But, with the new paper, the parallels go a bit deeper.