You have a way with words, I'm already more at ease with the perspective of a schizophrenic AGI ...
Quantum computers, as far as I can tell, get significant improvements over classical computers only for quite specific highly mathematically structured problems like the discrete log problem or simulating other quantum systems.
I don't think it's likely that there will be substantial "quantum adantage" in the machine learning/ai area.
I agree with you, quantum ai has only ever been people shouting "quantum" at black box neural nets, as if that had ever produced a viable algorithm yet...
I'm pretty sure you're talking about mean Dirk Englund's photonic matrix multiplication. Also, you should do better at explaining what you mean, because if I wasn't already very familiar with this I would have no clue what you're talking about.
I'm talking about this one: https://dl.acm.org/doi/10.1145/3603269.3604821
What do you mean by "no"? Do you mean, not that paper (that neither of us linked because there are probably several on matrix multiplication) but instead this other one that also has optics and ml and Dirk? I'm seeing a pattern of you understanding what you write, but it being impossible to decipher on my end.
No, I don't mean his photonic matrix multiplication from 2022.
The issue seems more to be with your over specificity leading to ambiguity than anything else here.
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.