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Tensor Network study of the (1+1)-dimensional Thirring Model

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arxiv 1710.09993 v1 pith:RNP5CZOK submitted 2017-10-27 hep-lat cond-mat.str-el

Mari Carmen Bañuls , Krzysztof Cichy , Ying-Jer Kao , C.-J. David Lin , Yu-Ping Lin , David Tao-Lin Tan This is my paper · ORCID
classification hep-latcond-mat.str-el
keywords modelthirringdimensionalnetworkphasetensorbeendecades
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Tensor Network methods have been established as a powerful technique for simulating low dimensional strongly-correlated systems for over two decades. Employing the formalism of Matrix Product States, we investigate the phase diagram of the massive Thirring model. We also show the possibility of studying soliton dynamics and topological phase transition via the Thirring model.

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  1. Phase structure of the 1+1 dimensional massive Thirring model from matrix product states

    hep-lat 2019-08 conditional novelty 5.0 of 10

    The 1+1 dimensional massive Thirring model has a conformal critical phase and a gapped phase separated by a Berezinskii-Kosterlitz-Thouless transition, as shown by tensor-network simulations.

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