2014
DOI: 10.1103/physrevb.89.075112
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Matrix product states for anyonic systems and efficient simulation of dynamics

Abstract: Matrix product states (MPS) have proven to be a very successful tool to study lattice systems with local degrees of freedom such as spins or bosons. Topologically ordered systems can support anyonic particles which are labeled by conserved topological charges and collectively carry nonlocal degrees of freedom. In this paper we extend the formalism of MPS to lattice systems of anyons. The anyonic MPS is constructed from tensors that explicitly conserve topological charge. We describe how to adapt the time-evolv… Show more

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Cited by 19 publications
(24 citation statements)
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“…It is worth mentioning that the approach we suggest is not the first attempt to target the reduced Hilbert space of a constrained model with tensor network algorithms. In the context of anyons, the anyonic fusion tree has been encoded explicitly first into MERA [21,22] and more recently into TEBD [23,24] through an auxiliary 'fusion tensor'. The role of this tensor is to select the states from the MPS tensor that satisfy the constraint and to discard all the other ones.…”
Section: Fibonacci Anyon Chainmentioning
confidence: 99%
“…It is worth mentioning that the approach we suggest is not the first attempt to target the reduced Hilbert space of a constrained model with tensor network algorithms. In the context of anyons, the anyonic fusion tree has been encoded explicitly first into MERA [21,22] and more recently into TEBD [23,24] through an auxiliary 'fusion tensor'. The role of this tensor is to select the states from the MPS tensor that satisfy the constraint and to discard all the other ones.…”
Section: Fibonacci Anyon Chainmentioning
confidence: 99%
“…It should be noted that this anyonic MPS has been drawn with site indices going upwards, to make apparent the visual similarity with anyonic fusion tree diagrams, but it is essentially the same ansatz given in Ref. 43. Due to the iterative fusion process down the tree of the anyonic MPS the dimensions of the tensors Γ [i] required to exactly construct an arbitrary state will vary, but in practice an upper bound is imposed on the bond dimension χ ahead of time.…”
Section: Anyonic Matrix Product Statesmentioning
confidence: 99%
“…), one can construct an MPS ansatz for anyonic systems at any fixed rational filling. This ansatz may then be used to construct an an approximation to the ground state of a system by means of anyonic algorithms such as the anyonic TEBD algorithm proposed by Singh et al 43 or the anyonic DMRG. 44 Ground state properties such as entropy scaling and correlation functions can be computed using approaches similar to those for conventional tensor networks, but modified to account for anyonic statistics by normalizing vertices, removing loops and bending anyonic charge lines in accordance with the prescriptions given in Ref.…”
Section: Vertical Bendsmentioning
confidence: 99%
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“…Full details of the numerical simulation are given in Ref. [25]. Thus, while the position of the walker and the fusion degrees of freedom of the anyons are entangled during the time evolution, the algorithm preserves the distinction between them.…”
Section: A Numerical Calculations Of Non-abelian Anyonsmentioning
confidence: 99%