Journal
PHYSICAL REVIEW RESEARCH
Volume 4, Issue 2, Pages -Publisher
AMER PHYSICAL SOC
DOI: 10.1103/PhysRevResearch.4.023095
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Funding
- Frontier Science Center for Quantum Information of the Ministry of Education of China
- Tsinghua University
- National Natural Science Foundation of China [12075128, 11905108]
- Shanghai Qi Zhi Institute
- Tsinghua University Initiative Scientific Research Program
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This study investigates the dynamics of quantum information scrambling in quantum many-body scarred systems, focusing on the PXP model. It is found that the out-of-time-ordered correlator (OTOC) and Holevo information exhibit linear light cone and periodic oscillations within the light cone for initial states within the scarred subspace. The results signify an unusual breakdown of quantum chaos.
Quantum many-body scarred systems host special nonthermal eigenstates that support periodic revival dynamics and weakly break the ergodicity. Here, we study the quantum information scrambling dynamics in quantum many-body scarred systems, with a focus on the PXP model. We use the out-of-time-ordered correlator (OTOC) and Holevo information as measures of the information scrambling and apply an efficient numerical method based on matrix product operators to compute them up to 41 spins. We find that both the OTOC and Holevo information exhibit a linear light cone and periodic oscillations inside the light cone for initial states within the scarred subspace, which is in sharp contrast to thermal or many-body localized systems. The periodic revivals of OTOCs and Holevo information signify unusual breakdown of quantum chaos and are not equivalent to the revival dynamics of state fidelity or local observables studied in the previous literature. To explain the formation of the linear light-cone structure, we provide a perturbation-type calculation based on a phenomenological model. In addition, we demonstrate that the OTOC and Holevo information dynamics of the PXP model can be measured using the Rydberg-atom quantum simulators with current experimental technologies and numerically identify the measurable signatures using experimental parameters.
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