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. However, lately, we’ve been ...

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. However, lately, we’ve been ...

In the Google paper, they discuss two classical algorithms that do match the asymptotic performance — and one of them beats the real-world performance — of the D-Wave machine. So besides simulated ...

Simulated annealing is a meta-heuristic, meaning it's a set of general guidelines rather than a rigidly defined algorithm. Therefore, there are many possible designs you can use. A common enhancement ...

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.

In other words, the D-Wave had a massive home advantage. Better versions of the simulated annealing algorithm can reduce this advantage to just 100 times faster, says Troyer, while other more ...

Simulated annealing is a meta-heuristic, meaning it's a set of general guidelines rather than a rigidly defined algorithm. Therefore, there are many possible designs you can use. A common enhancement ...