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Tensor Network Representations for Intrinsically Mixed-State Topological Orders
Tensor networks are an efficient platform for representing topological states of matter as well as computing both physical observables and information-theoretic quantities. We present a general protocol to construct tensor network representations for intrinsically mixed-state topological phases. Suc
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