A tensor-network-based MCMC algorithm using stochastic projectors removes the systematic error of finite bond dimension truncation and shows exponential variance reduction on the 2D Ising model.
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Markov Chain Monte Carlo in Tensor Network Representation
A tensor-network-based MCMC algorithm using stochastic projectors removes the systematic error of finite bond dimension truncation and shows exponential variance reduction on the 2D Ising model.