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Updated: Apr 3, 2026

Molecular Entanglement and Electrospinnability of Biopolymers
Published on: September 3, 2014
Chaotic spin-spin entanglement on a recursive lattice.
Levon Chakhmakhchyan1,2,3, Stéphane Guérin3, Claude Leroy3
1A.I. Alikhanyan National Science Laboratory, Alikhanian Brothers 2, 0036 Yerevan, Armenia.
We introduce a solvable spin-1/2 Ising-Heisenberg model to study chaotic entanglement. This research reveals how chaos can slightly increase entanglement and maps transitions between uniform, periodic, and chaotic regimes.
Area of Science:
- Quantum physics
- Statistical mechanics
- Condensed matter theory
Background:
- Investigating complex quantum systems requires exactly solvable models.
- Understanding chaotic entanglement is crucial for quantum information science.
- Spin-1/2 Ising-Heisenberg models exhibit rich magnetic and entanglement properties.
Purpose of the Study:
- To propose and solve an exactly solvable spin-1/2 Ising-Heisenberg model on a triangulated Husimi lattice.
- To rigorously study chaotic entanglement and its relationship with magnetic properties.
- To identify phase transitions related to uniform, periodic, and chaotic regimes.
Main Methods:
- Development of a multisite interaction spin-1/2 Ising-Heisenberg model.
- Application of the generalized star-triangle transformation to map the model.
- Exact solution using the recursive method on an effective Ising model.
- Quantification of entanglement via concurrence and analysis of magnetic quantities.
Main Results:
- The model exhibits exactly solvable properties on a triangulated Husimi lattice.
- Demonstration of bifurcation and chaotic behavior in entanglement.
- Quantification of entanglement in terms of magnetic quantities.
- Identification of transition lines to uniform, periodic, and chaotic regimes on the phase diagram.
Conclusions:
- The proposed model provides a rigorous framework for studying chaotic entanglement.
- Underlying chaos can lead to a slight enhancement of quantum entanglement.
- The phase diagram clearly delineates transitions between different dynamical regimes.
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