Matrix Product State approximations of the network epidemic steady state can be tuned by bond dimension and outperform second-order mean-field theory for sufficiently large bond dimensions.
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Effective dimensional reduction of complex systems based on tensor networks
Matrix Product State approximations of the network epidemic steady state can be tuned by bond dimension and outperform second-order mean-field theory for sufficiently large bond dimensions.