Entanglement and the density matrix renormalisation group in the generalised Landau paradigm
Laurens Lootens, Clement Delcamp, Frank Verstraete

TL;DR
This paper links entanglement structure and tensor networks in quantum lattice models, showing how duality transformations can simplify ground state representations and improve simulation efficiency.
Contribution
It introduces a duality-based approach to optimize tensor network representations of ground states in gapped symmetric quantum systems.
Findings
Duality transformations reveal entanglement degeneracies.
Dual symmetry breaking reduces entanglement entropy.
New density matrix renormalisation group algorithm improves simulation efficiency.
Abstract
The fields of entanglement theory and tensor networks have recently emerged as central tools for characterising quantum phases of matter. In this article, we determine the entanglement structure of ground states of gapped symmetric quantum lattice models, and use this to obtain the most efficient tensor network representation of those ground states. We do this by showing that degeneracies in the entanglement spectrum arise through a duality transformation of the original model to the unique dual model where the entire dual (generalised) symmetry is spontaneously broken and subsequently no degeneracies are present. Physically, this duality transformation amounts to a (twisted) gauging of the unbroken symmetry in the original ground state. This result has strong implications for the complexity of simulating many-body systems using variational tensor network methods. For every phase in the…
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Taxonomy
TopicsMatrix Theory and Algorithms · Advanced Thermodynamics and Statistical Mechanics · Advanced NMR Techniques and Applications
