Entanglement Preservation and Clauser-Horne Nonlocality in Electromagnetically Induced Transparency Quantum Memories

• URL: http://arxiv.org/abs/2507.15453v1
• Date: Mon, 21 Jul 2025 10:05:11 GMT
• Title: Entanglement Preservation and Clauser-Horne Nonlocality in Electromagnetically Induced Transparency Quantum Memories
• Authors: Po-Han Tseng, Yong-Fan Chen,
• Abstract summary: Quantum memories are indispensable for quantum repeater networks, deterministic generation of single- or multi-photon states, and linear optical quantum computing.<n>This work bridges a long-standing theoretical gap and lays a solid foundation for the application of quantum memories in scalable quantum networks and quantum information processing.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Quantum memories are indispensable for quantum repeater networks, deterministic generation of single- or multi-photon states, and linear optical quantum computing. Although experiments have demonstrated that electromagnetically induced transparency (EIT) quantum memories can store entangled photons, a definitive theoretical framework verifying the preservation of entanglement and nonlocality has not been rigorously established. Here, we develop a comprehensive model by integrating the dark-state polariton framework with reduced-density-operator theory to derive the retrieved density operator under realistic ground-state decoherence conditions. Our analysis reveals that decoherence inevitably causes probe photon loss, converting a Bell state into a mixed state. Crucially, we predict a critical storage efficiency threshold of 89.7%. Only when this threshold is exceeded does the retrieved probe photon state violate the Clauser-Horne inequality, thereby preserving nonlocality; below this point, nonlocal correlations vanish. Moreover, our theory shows that multiple spatially separated EIT memories can cooperatively store and retrieve N-qubit entangled states encoded in photon number, path, and polarization with near-unity fidelity in the ideal limit. This work bridges a long-standing theoretical gap and lays a solid foundation for the application of quantum memories in scalable quantum networks and quantum information processing.

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