Tripartite entanglement dynamics and entropic squeezing of a three-level atom interacting with a bimodal cavity field

TL;DR

This paper analyzes the dynamics of tripartite entanglement and entropic squeezing in a three-level atom interacting with a bimodal cavity field, considering Kerr medium effects and detuning, with analytical and numerical insights.

Contribution

It introduces a model reducing a complex atom-field interaction to a generalized Jaynes-Cummings form and explores entanglement and squeezing dynamics under various parameters.

Findings

Entanglement and squeezing can be controlled by tuning system parameters.

Kerr medium and detuning significantly influence nonclassical features.

Analytical solutions provide detailed insights into system evolution.

Abstract

In this paper, we study the interaction between a $\Lambda$-type three-level atom and two quantized electromagnetic fields which are simultaneously injected in a bichromatic cavity surrounded by a Kerr medium in the presence of the field-field interaction (parametric down conversion) and detuning parameters. By applying a canonical transformation, the introduced model is reduced to a well-known form of the generalized Jaynes-Cummings model. Under particular initial conditions which may be prepared for the atom and the field, the time evolution of state vector of the entire system is analytically evaluated. Then, the dynamics of atom is studied through the evolution of the atomic population inversion. In addition, two different measures of entanglement between the tripartite system (three entities make the system: two field modes and one atom) i.e., von Neumann and linear entropy are investigated. Also, two kinds of entropic uncertainty relations, from which entropy squeezing can be obtained, are discussed. In each case, the influences of the detuning parameters and Kerr medium on the above nonclassicality features are analyzed via numerical results, in detail. It is illustrated that the amount of the above-mentioned physical phenomena can be tuned by choosing the evolved parameters, appropriately.