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Perfect Born Sampling of Symmetric Thermal Tensor Network for Quantum Lattice Models
Accurate calculations of quantum lattice models at low temperatures constitute a major challenge in many-body physics. Stochastic sampling of tensor-network states offers a promising route to tackle this problem; however, existing schemes have long faced a fundamental dilemma---sampling efficiency a
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