General purpose QC isn't going to happen all that soon, and may always be faced with scaling issues.

But we will see QC in a very specific application before the decade is out.

It's kind of a perfect marriage between ML and QC. If you want stochastic outputs and aren't going to know what's going on at each step in the network anyways, the issues of error correction around measurement aren't nearly as crippling as they are for general purpose QC.

While initially the work will be converting from classical to optoelectronic hardware for matching current operations, such as MIT's work this year, once we've seen greater availability of optoelectronic hardware I suspect we'll see algorithms for ML developed that would only work in photonic networks and fully exploit the quantum properties therein.