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Exploring the Percolation Phenomena in Quantum Networks

Author

Listed:
  • Chuanxin Wang

    (School of Mathematical Sciences, Jiangsu University, Zhenjiang 212013, China)

  • Xinqi Hu

    (School of Mathematical Sciences, Jiangsu University, Zhenjiang 212013, China)

  • Gaogao Dong

    (School of Mathematical Sciences, Jiangsu University, Zhenjiang 212013, China)

Abstract

Quantum entanglement as a non-local correlation between particles is critical to the transmission of quantum information in quantum networks (QNs); the key challenge lies in establishing long-distance entanglement transmission between distant targets. This issue aligns with percolation theory, and as a result, an entanglement distribution scheme called “Classical Entanglement Percolation” (CEP) has been proposed. While this scheme provides an effective framework, “Quantum Entanglement Percolation” (QEP) indicates a lower percolation threshold through quantum preprocessing strategies, which will modify the network topology. Meanwhile, an emerging statistical theory known as “Concurrence Percolation” reveals the unique advantages of quantum networks, enabling entanglement transmission under lower conditions. It fundamentally belongs to a different universality class from classical percolation. Although these studies have made significant theoretical advancements, most are based on an idealized pure state network model. In practical applications, quantum states are often affected by thermal noise, resulting in mixed states. When these mixed states meet specific conditions, they can be transformed into pure states through quantum operations and further converted into singlets with a certain probability, thereby facilitating entanglement percolation in mixed state networks. This finding greatly broadens the application prospects of quantum networks. This review offers a comprehensive overview of the fundamental theories of quantum percolation and the latest cutting-edge research developments.

Suggested Citation

  • Chuanxin Wang & Xinqi Hu & Gaogao Dong, 2024. "Exploring the Percolation Phenomena in Quantum Networks," Mathematics, MDPI, vol. 12(22), pages 1-12, November.
  • Handle: RePEc:gam:jmathe:v:12:y:2024:i:22:p:3568-:d:1521672
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    References listed on IDEAS

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    1. Georg Tilch & Tatiana Ermakova & Benjamin Fabian, 2020. "A multilayer graph model of the internet topology," International Journal of Networking and Virtual Organisations, Inderscience Enterprises Ltd, vol. 22(3), pages 219-245.
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