Characterizing quantum dynamics using multipartite entanglement generation
Gaurav Rudra Malik, Rohit Kumar Shukla, S. Aravinda, Sunil Kumar Mishra

TL;DR
This paper investigates how information scrambling in a spin chain model influences multipartite entanglement generation, using a tunable XXZ model to explore the transition from integrable to chaotic dynamics and its impact on entanglement.
Contribution
It introduces a multipartite entanglement metric applied to a spin chain with tunable parameters, linking dynamical regimes to entanglement generation in quantum systems.
Findings
Entanglement increases with system chaos
Multipartite entanglement correlates with information scrambling
Tuning parameter lambda controls entanglement dynamics
Abstract
Entanglement is a defining feature of many-body quantum systems and is an essential requirement for quantum computing. It is therefore useful to study physical processes which generate entanglement within a large system, as they maybe replicated for applications involving the said requirements in quantum information processing. A possible avenue to maximize entanglement generation is to rely on the phenomena of information scrambling, i.e. transport of initially localized information throughout the system. Here the rationale is that the spread of information carries with it an inherent capacity of entanglement generation. Scrambling greatly depends upon the dynamical nature of the system Hamiltonian, and the interplay between entanglement generation and information scrambling maybe investigated taking a chain of interacting spins on a one dimensional lattice. This system is analogous to…
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