From the 1 of 9 linked papers with an AI index.
2 citations · 2 across the 3 of their papers we have counts for
5 papers · 1 filter
Information-theoretic principle of emergent 1-form symmetries
Yu-Jie Liu, Wen-Tao Xu, Frank Pollmann +1
Higher-form symmetries act on sub-dimensional spatial manifolds of a quantum system. They can emerge as an exact symmetry at low energies even when they are explicitly broken at th…
Skeleton of isometric Tensor Network States for Abelian String-Net Models
Julian Boesl, Yu-Jie Liu, Frank Pollmann +1
We construct parametrized isometric tensor network states -- referred to as skeletons -- that allow us to explore phases of abelian topological order and can be efficiently impleme…
Holographic Representation of One-Dimensional Many-Body Quantum States via Isometric Tensor Networks
Kaito Kobayashi, Benjamin Sappler, Frank Pollmann
Tensor network methods, most prominently matrix product states (MPS), have become fundamental tools in modern quantum many-body physics. While MPS and extensions like the multiscal…
Entanglement Barriers from Computational Complexity: Matrix-Product-State Approach to Satisfiability
Tim Pokart, Frank Pollmann, Jan Carl Budich
We approach the 3-SAT satisfiability problem with the quantum-inspired method of imaginary time propagation (ITP) applied to matrix product states (MPS) on a classical computer. Th…
Alternating and Gaussian fermionic Isometric Tensor Network States
Yantao Wu, Zhehao Dai, Sajant Anand +5
Isometric tensor networks in two dimensions enable efficient and accurate study of quantum many-body states, yet the effect of the isometric restriction on the represented quantum…