# Comparative Analysis of Robust Entanglement Generation in Engineered XX Spin Chains

**Authors:** Eduardo K. Soares, Gentil D. de Moraes Neto, Fabiano M. Andrade

PMC · DOI: 10.3390/e27070764 · 2025-07-18

## TL;DR

This paper compares two methods for generating entanglement in spin chains, finding that one method is more efficient and robust against noise.

## Contribution

The dual-port protocol (P2) is shown to be more efficient and robust for entanglement generation in XX spin chains.

## Key findings

- Protocol 2 (P2) generates higher-fidelity entanglement faster than Protocol 1 (P1) across all spin values.
- P2 is more robust against disorder and dephasing noise compared to P1.
- P2 remains effective under non-Markovian noise due to reduced excitation of bulk modes.

## Abstract

We present a numerical investigation comparing two entanglement generation protocols in finite XX spin chains with varying spin magnitudes (s=1/2,1,3/2). Protocol 1 (P1) relies on staggered couplings to steer correlations toward the ends of the chain. At the same time, Protocol 2 (P2) adopts a dual-port architecture that uses optimized boundary fields to mediate virtual excitations between terminal spins. Our results show that P2 consistently outperforms P1 in all spin values, generating higher-fidelity entanglement in shorter timescales when evaluated under the same system parameters. Furthermore, P2 exhibits superior robustness under realistic imperfections, including diagonal and off-diagonal disorder, as well as dephasing noise. To further assess the resilience of both protocols in experimentally relevant settings, we employ the pseudomode formalism to characterize the impact of non-Markovian noise on the entanglement dynamics. Our analysis reveals that the dual-port mechanism (P2) remains effective even when memory effects are present, as it reduces the excitation of bulk modes that would otherwise enhance environment-induced backflow. Together, the scalability, efficiency, and noise resilience of the dual-port approach position it as a promising framework for entanglement distribution in solid-state quantum information platforms.

## Full-text entities

- **Diseases:** injury to (MESH:D014947)
- **Chemicals:** P2 (MESH:C020845), fullerenes (MESH:D037741), diamond (MESH:D018130), nitrogen (MESH:D009584), Dephasing (-)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Figures

9 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12295442/full.md

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Source: https://tomesphere.com/paper/PMC12295442