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It appears that, while the D-Wave machine does outperform certain off-the-shelf solvers, simulated annealing codes have been written that outperform the D-Wave machine on its own native problem when run on a standard laptop.
More research is needed to clarify the issue, but in the meantime, it seems worth knowing that this is where things currently stand.
Now imagine that closer examination of the clinical trial revealed that it showed nothing of the kind: it compared against the wrong drugs.
And imagine that a more relevant clinical trial—mostly unmentioned in the press—had been done, and discovered that when you compare to the right drugs, the drugs do better.
I have repeatedly made this point to D-Wave over several years, and I hope that in the future their designs will allow more flexibility in the incorporation of error correction.
Lidar also clarified that he not only doesn’t dispute what Matthias Troyer told me about the lack of speedup of the D-Wave device compared to classical simulated annealing in their experiments, but “fully agrees, endorses, and approves” of it—and indeed, that he himself was part of the team that did the comparison.
See here for more info; I’ll be traveling then and won’t be able to make it.
etc., then repeated the speedup claims as if the more informative comparisons simply didn’t exist.This will be my final update on this post (really!!), since the discussion seems to have reached a point where not much progress is being made, and since I’d like to oblige the commenters who’ve asked me to change the subject.In another exciting update, John Smolin and Graeme Smith posted a paper to the ar Xiv tonight questioning even the “signature of quantumness” part of the latest D-Wave claims—the part that I’d been ~98% willing to accept, even as I relayed evidence that cast enormous doubt on the “speedup” part.Specifically, Smolin and Smith propose a classical model that they say can explain the “bimodal” pattern of success probabilities observed by the USC group as well as quantum annealing can.