2020
DOI: 10.1103/physrevd.101.054507
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Topological vacuum structure of the Schwinger model with matrix product states

Abstract: We numerically study the single-flavour Schwinger model in the Hamiltonian formulation with a topological θ-term corresponding to a constant electric background field. By using numerical methods based on tensor networks, especially the one-dimensional matrix product states, we explore the non-trivial θ-dependence of several lattice and continuum quantities. In particular, we compute the ground-state energy, the electric field, the chiral fermion condensate, and the topological vacuum susceptibility for positiv… Show more

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Cited by 85 publications
(69 citation statements)
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References 72 publications
(113 reference statements)
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“…In particular, in recent years, there has been a boost in the development of tensor network methods to simulate lattice gauge theories. There are different approaches, that range from the exploitation of mappings of some theories to spin models [103,104], to the development of gauge invariant tensor networks in the quantum link formulation [22,23,101,[105][106][107]. This section reviews some of the studies that appeared in the last years, covering most of the available approaches for Abelian and non-Abelian lattice gauge theories [103][104][105][108][109][110][111].…”
Section: Quantum Information Techniques 41 Tensor Network For Lattimentioning
confidence: 99%
“…In particular, in recent years, there has been a boost in the development of tensor network methods to simulate lattice gauge theories. There are different approaches, that range from the exploitation of mappings of some theories to spin models [103,104], to the development of gauge invariant tensor networks in the quantum link formulation [22,23,101,[105][106][107]. This section reviews some of the studies that appeared in the last years, covering most of the available approaches for Abelian and non-Abelian lattice gauge theories [103][104][105][108][109][110][111].…”
Section: Quantum Information Techniques 41 Tensor Network For Lattimentioning
confidence: 99%
“…The implementation of quantum simulators has been demonstrated using trapped ions [17] and ultracold atoms [18][19][20][21]. On the numerical side, there has been a lot of success in applying matrix product state methods to (1 + 1)-dimensional Abelian and non-Abelian lattice gauge theories [22][23][24][25][26][27][28][29][30][31][32][33][34][35][36], enabling the study of finite chemical potential scenarios and out-of-equilibrium dynamics which would not have been accessible in Monte Carlo simulations of Euclidean lattice gauge theory. Also, some generalizations of Gaussian states have proven to be suitable for these theories [37].…”
Section: Introductionmentioning
confidence: 99%
“…As tailored many-body quantum state ansätze, TNs are an efficient approximate entanglement-based representation of physical states, capable of efficiently describe equilibrium properties and real-time dynamics of systems described by complex actions, where Monte Carlo simulations fail to efficiently converge 22 . TN methods have proven remarkable success in simulating LGTs in (1+1) dimensions [23][24][25][26][27][28][29][30][31][32][33][34][35][36][37][38][39][40][41] , and very recently they have shown potential in (2+1) dimensions [42][43][44][45][46][47][48][49][50] . To date, due to the lack of efficient numerical algorithms to describe high-dimensional systems via TNs, no results are available regarding the realistic scenario of LGTs in three spatial dimensions.…”
mentioning
confidence: 99%