From planning transportation networks to organizing massive datasets, many of society’s most important challenges boil down to an optimization problem: finding the best solution among an enormous number of possibilities. As these problems increase in size and scope, however, the computational resources required to solve them can increase dramatically.

Now, researchers from Japan have identified a new way to tackle a broad class of optimization problems while keeping computational demands manageable.