The more important conclusion is that if you compare the scaling of time-to-solution with problem size, the D-Wave system scales in an identical manner to a quantum simulated annealing algorithm.

Annealing is then applied to the timetabling problem. A prototype timetabling environment is described followed by some experimental results. A parallel algorithm which can be implemented on a ...

Several techniques allow you to optimize things that are too hard to search exhaustively, and we’ve talked about simulated annealing and genetic algorithms before.

Several techniques allow you to optimize things that are too hard to search exhaustively, and we’ve talked about simulated annealing and genetic algorithms before.

This transdimensional simulated annealing algorithm can therefore be used to locate models and parameters that minimize criteria such as the Akaike information criterion, but within a single algorithm ...

In simulated annealing, the temperature value starts out large, such as 1000000.0 and then is reduced slowly on each iteration. Early in the algorithm, when temperature is large, accept_p will be ...

So besides simulated annealing, there are two more classical algorithms that are actors in this story. One of them is quantum Monte Carlo, which is actually a classical optimization method, but it’s ...