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Trapped Ion Quantum Computing

Enhancing Remote Magnon-Magnon Entanglement with Quantum Interference

arXiv
Authors: Yuan Gong, Yan-Xue Cheng, Wei Xiong, Jiaojiao Chen

Year

2025

Paper ID

17349

Status

Preprint

Abstract Read

~2 min

Abstract Words

177

Citations

1

Abstract

Cavity magnonics, owing to its strong magnon-photon coupling and excellent tunability, has attracted significant interest in quantum information science. However, achieving strong and robust macroscopic entanglement remains a long-standing challenge due to the inherently linear nature of the beam-splitter interaction. Here, we propose an experimentally feasible scheme to generate and enhance macroscopic entanglement between two remote magnon modes by injecting squeezed vacuum fields (SVFs) into coupled microwave cavities. We demonstrate that even a single SVF applied to one cavity can induce steady magnon-magnon entanglement, while applying two SVFs (the double-squeezed configuration) enables selective activation of two independent entanglement channels associated with the cavity supermodes. Remarkably, quantum interference between the two SVFs allows for phase-controlled enhancement of entanglement, resulting in significantly improved robustness against cavity dissipation and thermal noise. Under realistic parameters, the survival temperature of quantum entanglement increases from approximately 260 mK to 450 mK. Our results establish a versatile and controllable approach to generating and enhancing quantum entanglement through double-squeezed-field interference, opening new avenues to study and enhance macroscopic quantum physics in cavity-magnon systems with only beam-splitter interactions.

Why This Paper Matters

  • This paper contributes to the Trapped-Ion Quantum Computing research area in the Quantum Articles archive.
  • It adds a 2025 reference point for readers tracking recent quantum research.
  • Cavity magnonics, owing to its strong magnon-photon coupling and excellent tunability, has attracted significant interest in quantum information science.

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