Dynamical multipartite entanglement in a generalized Tavis-Cummings model with XY spin interaction

• URL: http://arxiv.org/abs/2505.05841v1
• Date: Fri, 09 May 2025 07:23:56 GMT
• Title: Dynamical multipartite entanglement in a generalized Tavis-Cummings model with XY spin interaction
• Authors: Yuguo Su, Zhijie Sun, Yiying Yan, Hengyan Wang, Junyan Luo, Tiantian Ying, Hongbin Liang, Yi-Xiao Huang,
• Abstract summary: We present the dynamical multipartite entanglement of a generalized Tavis-Cummings (TC) model introducing the XY spin interaction.<n>Our results unveil the deep link between the TC model and the central spin model, allowing for a better comprehension of their dynamical multipartite entanglement.
• Score: 0.9335293350289312
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Multipartite entanglement is a long-term pursuit in the resource theory, offering a potential resource for quantum metrology. Here, we present the dynamical multipartite entanglement, which is in terms of the quantum Fisher information, of a generalized Tavis-Cummings (TC) model introducing the XY spin interaction. Since our model cannot be solved exactly, we theoretically derive and numerically examine the effective description of our model. By the Holstein-Primakoff transformation, we show the bridge from the generalized TC model to the central spin model. Furthermore, the reduced density matrix of the central spins is presented, which is the prerequisite for calculating multipartite entanglement. We also discuss the effect of the temperature, the coupling constant, and the magnetic field on the dynamical multipartite entanglement in the central spin model, where the central spin is initially unentangled. Strong coupling and low temperature are necessary conditions for a genuine multipartite entanglement in the XY model, and together with the magnetic field, they govern the modulation of both the entanglement period and amplitude. Our results unveil the deep link between the TC model and the central spin model, allowing for a better comprehension of their dynamical multipartite entanglement.

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