TL;DR
This paper introduces a parallelized version of the real-space DMRG algorithm, significantly enhancing computational efficiency for complex two-dimensional quantum systems and large parameter studies.
Contribution
It presents a straightforward modification to serial DMRG enabling efficient parallelization, expanding the scope of feasible simulations in quantum many-body physics.
Findings
Achieved at least tenfold speedup in DMRG computations
Successfully applied parallel DMRG to study valence-bond-solid order
Validated the approach with benchmark results on lattice models
Abstract
We demonstrate how to parallelize the density matrix renormalization group (DMRG) algorithm in real space through a straightforward modification of serial DMRG. This makes it possible to apply at least an order of magnitude more computational power to challenging simulations, greatly accelerating investigations of two-dimensional systems and large parameter spaces. We discuss details of the algorithm and present benchmark results including a study of valence-bond-solid order within the square-lattice Q2 model and Neel order within the triangular lattice Heisenberg model. The parallel DMRG algorithm also motivates an alternative canonical form for matrix product states.
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