ERC Consolidator Grant · 2023
Overcoming the sign problem in lattice gauge theories using tensor networks
Tensor networks, and particularly projected entangled pair states (PEPS), are special quantum many-body states that describe strongly-correlated systems well due to their entanglement structure. They have been successfully applied in various scenarios and recently to lattice gauge theories (LGTs) where they outperformed conventional Monte-Carlo calculations and overcame the sign problem in some examples, but mostly in single-space dimensions due to limitations of tensor network methods. A fundamental analogy between PEPS and gauge theories suggests that PEPS are suitable for studying LGTs and that gauge symmetry, often seen as complicating the numerics, can help in overcoming the sign…
From the public funding record at EU CORDIS. Describes the funded project, not the reviews below.