Improving Accuracy and Quality (anneal_schedule)
I'm trying to improve the accuracy and "quality" results of my QUBO problem. I tried the "quadratic growth", pause and quench from
But the only way to improve accuracy is increasing the number of "num_reads" in the: EmbeddingComposite(DWaveSampler().sample_qubo(bqm, num_reads=XXX, anneal_schedule=YYY).
e.g.: The Optimal value is: -500.03, but the Response (first 5) is:
sequence / energy
Accuracy: the best I can get after 10000 "num_reads" is (-442.28) / (-500.03) = 88% accuracy.
Quality: getting more results close to the minimal value (improving new results), but:
- Roughly 98% of the values are very far from the minimal value.
- Even after finding the minimal value (-442.28 in the sequence 4464) the next samples/sequences didn't improve it.
Seems that the samples are totally random, not exploring the local minimum and never finding the global minimum.
What can I do? Reverse Annealing? Some change in the Sampler or Composite? Changes in the Annealing Time?