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findalex | 27 days ago

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.

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