Recurrence network analysis in a model tripartite quantum system

Abstract

In a novel approach to quantum dynamics, we apply the tools of recurrence network analysis to the dynamics of the quantum mechanical expectation values of observables. We construct and analyse $\epsilon$-recurrence networks from the time-series data of the mean photon number in a model tripartite quantum system governed by a nonlinear Hamiltonian. The role played by the intensity-dependent field-atom coupling in the dynamics is investigated. Interesting features emerge as a function of a parameter characterising this intensity-dependent coupling in both the short-time and the long-time dynamics. In particular, we examine the manner in which standard measures of network theory such as the average path length, the link density and the clustering coefficient depend on this parameter.

Comments are welcome (7 pages, 6 figures)

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Cited by in corpus (2)

• Bifurcations, time-series analysis of observables, and network properties in a tripartite quantum system
• Time-series and network analysis in quantum dynamics: Comparison with classical dynamics