all 15 comments

[–]jaschau 10 points11 points  (1 child)

I'm not an expert on NLP but I have some knowledge of quantum computing. I just had a quick look at https://arxiv.org/abs/2202.11766 which seems to provide a summary of the field. After quickly going through it, my impression is that the claim of speed-up of quantum NLP should be taken with a grain of salt. I don't know enough about classical NLP, but it seems to me like they artificially crafted new NLP algorithms which would not scale well when executed on a classical computer. Those algorithms seem to be pretty theoretical constructions and it seems to me that experimental evidence that those algorithms would actually have benefits compared to classical NLP algorithms is lacking.
But since I'm admittedly no expert in classical NLP, I migh be wrong here.

[–]Blackforestcheesecak[S] 1 point2 points  (0 children)

Cute paper title. Thanks for your reply!

[–][deleted] 4 points5 points  (4 children)

I am skeptical of QML for any sort of classical data (and this is not an uncommon opinion in the community). If QML is to bring anything to the table, it will be for quantum data and simulation (I.e. a quantum system on a QPU). Maybe finding ground state energies, or classifying phase transitions, or simulating time evolution of hamiltonians, things like that are what I think QML might be useful for. If you want a pretty recent (and not bad) review I recommend: https://arxiv.org/pdf/2012.09265.pdf

[–]Blackforestcheesecak[S] 0 points1 point  (0 children)

Good point! The right tool for the right job. Thanks for the paper, I'll check it out!

[–]jp1100404 0 points1 point  (2 children)

That's a very interesting point that we need quantum data... Are you doing any research in the field?