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Emergent Conformal Boundaries from Finite-Entanglement Scaling in Matrix Product States
Rui-Zhen Huang1, Long Zhang2, Andreas M Läuchli3,4
1Department of Physics and Astronomy, University of Ghent, 9000 Ghent, Belgium.
Finite entanglement scaling with matrix product states reveals a relevant deformation in critical theories. This deformation connects the entanglement Hamiltonian to boundary conformal field theory, influencing boundary conditions in lattice models.
Area of Science:
- Condensed Matter Physics
- Quantum Information Theory
- Statistical Mechanics
Background:
- Matrix product states (MPS) are vital for studying 1D critical lattice theories.
- Finite entanglement scaling is a key technique in these studies, particularly for systems with conformal symmetry.
Purpose of the Study:
- To investigate the role of finite entanglement as a relevant deformation in critical theories.
- To establish a connection between the entanglement Hamiltonian and boundary conformal field theory.
- To explore how MPS symmetries can engineer physical boundary conditions.
Main Methods:
- Utilizing finite entanglement scaling with matrix product states (MPS).
- Defining a bipartite entanglement Hamiltonian from MPS.
- Analyzing symmetry properties of MPS to engineer boundary conditions.
- Examining critical lattice models (Ising, Potts, free compact boson CFTs).
Main Results:
- Finite entanglement acts as a relevant deformation in 1D critical lattice theories.
- The entanglement Hamiltonian is shown to be a boundary conformal field theory.
- MPS symmetries allow for the engineering of physical conformal boundary conditions.
- The entanglement boundary is model-dependent and robust to the relevant perturbation.
Conclusions:
- Finite entanglement scaling provides a powerful framework for understanding boundary conformal field theory in lattice models.
- The interplay between MPS symmetries and relevant deformations dictates conformal boundary properties.
- This approach offers insights into the entanglement spectrum of critical systems.
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