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

@article{Bauls2017TensorNS,
title={Tensor Network study of the (1+1)-dimensional Thirring Model},
author={Mar{\'i} Carmen Ba{\~n}uls and Krzysztof Cichy and Ying-Jer Kao and C.-J. David Lin and Yu-Ping Lin and David T.-L. Tan},
journal={arXiv: High Energy Physics - Lattice},
year={2017}
}
• Published 27 October 2017
• Physics
• arXiv: High Energy Physics - Lattice
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.
7 Citations

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