Minimum hybrid time
For benchmarking purposes we would like to investigate how much the quality of the solution of the hybrid solver improves given it is given more time to work on the problem. We want to do this by running random generated problem instances for different time limits.
The problem that we face is that the minimum_time_limit, specified here https://docs.dwavesys.com/docs/latest/c_solver_properties.html#minimum-time-limit results already yields the optimal solution to our problems.
Is there a way to set the hybrid_solver.properties['minimum_time_limit'] by hand, so that we can better study the output of the hybrid solver when it has to little time to produce good results? Or alternatively, what would be even better, is to be able to inspect current best solution over time. Although I don't think that is possible