@itayzit@huggingface@ArtificialAnlys It's reasonable to hypothesize that embeddings are only an approximated modeling for language similarity, and we have saturated this approximation. For me all of this dot product similarity seemed odd from the first place
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@kjw_chiu@LabYosi@yoavgo The only thing you can do with it is to compare these results to real world experiment, and then try to compare them. By doing this comparison in iterations, you can better learn the Hamiltonian that you simulated with the qc. This is nice. But rather academic.
@kjw_chiu@LabYosi@yoavgo Yes indeed, these kind of algorithms are exactly what qc will be good at. The "problem" is that correlations are usually not a quantity that helps is quantum chimetsry for industrial applications.