# Tensor network simulation of the quantum Kibble-Zurek quench from the   Mott to superfluid phase in the two-dimensional Bose-Hubbard model

**Authors:** Jacek Dziarmaga, Jakub M. Mazur

arXiv: 2302.13347 · 2023-05-03

## TL;DR

This paper uses tensor network simulations to study the Kibble-Zurek mechanism in the 2D Bose-Hubbard model, demonstrating that even short quenches can verify predicted scaling laws for correlations and excitations.

## Contribution

It provides the first tensor network simulation of the Kibble-Zurek quench in the 2D Bose-Hubbard model, confirming the scaling laws with short ramp times.

## Key findings

- Correlation length and excitation energy follow KZ power laws.
- Single particle correlation functions collapse onto a universal scaling function.
- Short quenches suffice to test KZ scaling predictions.

## Abstract

Quantum simulations of the Bose-Hubbard model (BHM) at commensurate filling can follow spreading of correlations after a sudden quench for times long enough to estimate their propagation velocities. In this work we perform tensor network simulation of the quantum Kibble-Zurek (KZ) ramp from the Mott towards the superfluid phase in the square lattice BHM and demonstrate that even relatively short ramp/quench times allow one to test the power laws predicted by the KZ mechanism (KZM). They can be verified for the correlation length and the excitation energy but the most reliable test is based on the KZM scaling hypothesis for the single particle correlation function: the correlation functions for different quench times evaluated at the same scaled time collapse to the same scaling function of the scaled distance. The scaling of the space and time variables is done according to the KZ power laws.

## Full text

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## Figures

15 figures with captions in the complete paper: https://tomesphere.com/paper/2302.13347/full.md

## References

143 references — full list in the complete paper: https://tomesphere.com/paper/2302.13347/full.md

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Source: https://tomesphere.com/paper/2302.13347