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Extracting average properties of disordered spin chains with translationally invariant tensor networks
Kevin Vervoort, Wei Tang, Nick Bultinck·April 29, 2025
cond-mat.dis-nncond-mat.str-elQuantum Physics
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Abstract
We develop a tensor network-based method for calculating disorder-averaged expectation values in random spin chains without having to explicitly sample over disorder configurations. The algorithm exploits statistical translation invariance and works directly in the thermodynamic limit. We benchmark our method on the infinite-randomness critical point of the random transverse field Ising model.