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Probing quantum many-body correlations by universal ramping dynamics

Quantum Gases 2023-01-06 v2 Statistical Mechanics Strongly Correlated Electrons Quantum Physics

Abstract

Ramping a physical parameter is one of the most common experimental protocols in studying a quantum system, and ramping dynamics has been widely used in preparing a quantum state and probing physical properties. Here, we present a novel method of probing quantum many-body correlation by ramping dynamics. We ramp a Hamiltonian parameter to the same target value from different initial values and with different velocities, and we show that the first-order correction on the finite ramping velocity is universal and path-independent, revealing a novel quantum many-body correlation function of the equilibrium phases at the target values. We term this method as the non-adiabatic linear response since this is the leading order correction beyond the adiabatic limit. We demonstrate this method experimentally by studying the Bose-Hubbard model with ultracold atoms in three-dimensional optical lattices. Unlike the conventional linear response that reveals whether the quasi-particle dispersion of a quantum phase is gapped or gapless, this probe is more sensitive to whether the quasi-particle lifetime is long enough such that the quantum phase possesses a well-defined quasi-particle description. In the Bose-Hubbard model, this non-adiabatic linear response is significant in the quantum critical regime where well-defined quasi-particles are absent. And in contrast, this response is vanishingly small in both superfluid and Mott insulators which possess well-defined quasi-particles. Because our proposal uses the most common experimental protocol, we envision that our method can find broad applications in probing various quantum systems.

Keywords

Cite

@article{arxiv.2109.00273,
  title  = {Probing quantum many-body correlations by universal ramping dynamics},
  author = {Libo Liang and Wei Zheng and Ruixiao Yao and Qinpei Zheng and Zhiyuan Yao and Tian-Gang Zhou and Qi Huang and Zhongchi Zhang and Jilai Ye and Xiaoji Zhou and Xuzong Chen and Wenlan Chen and Hui Zhai and Jiazhong Hu},
  journal= {arXiv preprint arXiv:2109.00273},
  year   = {2023}
}

Comments

7 pages for main text. Science Bulletin (2022)

R2 v1 2026-06-24T05:35:24.564Z