Adapts shadow tomography to tensor networks for O(1) scaling in long-range Hamiltonian expectations and stable variational gradients on classical computers.
This reuse is exact in 1D tensor network algorithms, and is approximate for higher-dimensional contractions
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Shadow tomography for classical tensor network simulations
Adapts shadow tomography to tensor networks for O(1) scaling in long-range Hamiltonian expectations and stable variational gradients on classical computers.