Density Matrix Renormalization Group Algorithm For Mixed Quantum States

Abstract

Density Matrix Renormalization Group (DMRG) algorithm has been extremely successful for computing the ground states of one-dimensional quantum many-body systems. For problems concerned with mixed quantum states, however, it is less successful in that either such an algorithm does not exist yet or that it may return unphysical solutions. Here we propose a positive matrix product ansatz for mixed quantum states which preserves positivity by construction. More importantly, it allows to build a DMRG algorithm which, the same as the standard DMRG for ground states, iteratively reduces the global optimization problem to local ones of the same type, with the energy converging monotonically in principle. This algorithm is applied for computing both the equilibrium states and the non-equilibrium steady states, and its advantages are numerically demonstrated.

arXiv comment9 pages, 6 figures

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• Tensor-network-based variational Monte Carlo approach to the non-equilibrium steady state of open quantum systems
• Variational approach to open quantum systems with long-range competing interactions
• Locally Purified Maximally Mixed States At Scale: Entanglement Pruning and Symmetries