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Quantum Simulation

Algorithms for entanglement renormalization

arXiv
Authors: G. Evenbly, G. Vidal

Year

2007

Paper ID

49715

Status

Preprint

Abstract Read

~2 min

Abstract Words

84

Citations

N/A

Abstract

We describe an iterative method to optimize the multi-scale entanglement renormalization ansatz (MERA) for the low-energy subspace of local Hamiltonians on a D-dimensional lattice. For translation invariant systems the cost of this optimization is logarithmic in the linear system size. Specialized algorithms for the treatment of infinite systems are also described. Benchmark simulation results are presented for a variety of 1D systems, namely Ising, Potts, XX and Heisenberg models. The potential to compute expected values of local observables, energy gaps and correlators is investigated.

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  • This paper contributes to the Quantum Simulation research area in the Quantum Articles archive.
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  • We describe an iterative method to optimize the multi-scale entanglement renormalization ansatz (MERA) for the low-energy subspace of local Hamiltonians on a D-dimensional lattice.

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