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> where we've empirically found hard for classical computing but we maybe could solve with quantum Are we talking complexity classes here, or just "problems we
by dataflow 3y ago
> where we've empirically found hard for classical computing but we maybe could solve with quantum
Are we talking complexity classes here, or just "problems we've found hard in practice, but that which may in fact be in P even if P != NP"?
Like I would've thought that solving BQP problems like integer factorization would be the criterion (since they're proven to be faster under QC assuming P != NP etc.). But that's evidently the researchers aren't holding themselves
up to that standard, so what bar are they using exactly? Are they just going with some sort of "if it walks like a duck then it's a duck" criterion, or are they using problems that they can formally prove lack efficient classical solutions under a well-regarded hypothesis like P != NP?
- jabbany 3y agoBased on what I've heard, I don't think the bar is as high as "formally proven to lack a classical solution" for the whole field. Then again, the caveat is of the two people I know, one is doing cryptography/security in a quantum setting and the other is working on quantum related HW... so take this with as much salt as needed.
- dataflow 3y agoI see, thanks!