Tensor networks and the negative sign problem

Norbert Schuch
University of Vienna

It is well known that quantum systems with negative entries in their Hamiltonian are generally much harder to simulate than those with positive entries only. We show that a similar transition in hardness also shows up in tensor network simulations: Tensor networks with negative entries are generally much harder to contract than those with positive entries only, and carry a much larger amount of correlations.


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