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Entanglement spectrum of the two-dimensional Bose-Hubbard model
Vincenzo Alba1, Masudul Haque, Andreas M Läuchli
1Department of Physics and Arnold Sommerfeld Center for Theoretical Physics, Ludwig-Maximilians-Universität München, D-80333 München, Germany.
We investigated the entanglement spectrum (ES) of the Bose-Hubbard model in Mott insulating and superfluid phases. The ES reveals boundary physics in the Mott phase and broken U(1) symmetry in the superfluid phase.
Area of Science:
- Condensed Matter Physics
- Quantum Information Theory
Background:
- The Bose-Hubbard model describes interacting bosons on a lattice, crucial for understanding quantum phases like Mott insulators and superfluids.
- Entanglement spectrum (ES) provides insights into the topological and symmetry properties of quantum many-body systems.
Purpose of the Study:
- To analyze the entanglement spectrum (ES) of the 2D Bose-Hubbard model at unit filling.
- To understand how ES reflects distinct quantum phases (Mott insulator, superfluid) and their transition.
- To explore the implications of ES structure on entanglement entropy and computational algorithms.
Main Methods:
- Numerical study of the Bose-Hubbard model on a 2D square lattice.
- Analysis of the entanglement spectrum (ES) in both Mott insulating and superfluid phases.
- Investigation of ES evolution across the quantum phase transition.
Main Results:
- In the Mott phase, ES is dominated by boundary physics, with 1D dispersion effects.
- In the superfluid phase, ES reflects broken U(1) symmetry and exhibits a 'tower of states' structure.
- Characteristic ES structures evolve across the superfluid-Mott insulator transition, impacting entanglement entropy.
Conclusions:
- The entanglement spectrum (ES) offers a powerful tool to characterize quantum phases and transitions in the Bose-Hubbard model.
- ES structure provides insights into symmetry breaking and boundary effects.
- Understanding ES is crucial for developing efficient quantum simulation algorithms, particularly matrix-product-state methods.
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