Intended as analogy - but it is essentially a description of the DMRG algorithm (quantum chem). Only pair-wise operators there but the theory approaches exact when there are enough terms in your tensor product (iterations ~ depth) and a large enough embedding dimension.
> There are no constraints on how the data transforms.
Except those implicit in your learned representation. And that representation could be the MB WF.
> There are no constraints on how the data transforms.
Except those implicit in your learned representation. And that representation could be the MB WF.