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Tensor network contraction "bubbling": why are some approaches more computationally efficient than others (question from a beginner)

It's safe to assume the input was given to you, so whatever input you started with, you automatically needed that much memory anyway. Note that, if each wire in the ladder is $d$-dimensional, then ...
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