Efficient and Flexible Multi-Qubit Entanglement Transmission in Quantum Networks

Research output: Contribution to journalArticlepeer-review

Abstract

The unprecedented advancements in quantum technology have opened new prospects for the widespread adoption of quantum applications, placing new demands on the information transmission capabilities of large-scale quantum networks. Longdistance and stable entanglements are deemed as the lifeline in quantum network communication. However, some weaknesses, e.g., quantum decoherence, scarce quantum memory, and unevenquality entanglement, of the quantum entanglement hinder the development. In this paper, we propose Sophon, an online transmission framework for quantum networks, which utilizes high-dimensional entanglements to concurrently transmit multiqubit data to satisfy the transmission requirements of the real-time request set. We first model the quantum network with multi-qubit entanglement represented by W quantum state and then formulate the Entanglement Routing and Qubit Provisioning (ERQP) problem as a global-local optimization process. To solve the ERQP problem, we distributedly regard each network node as an RL agent for resource provisioning and extend the step-updating of the Markov Decision Process by introducing a centralized controller for entanglement route selection to optimize local and global objectives, respectively. Extensive simulations demonstrate, on the self-made simulation platform, Sophon achieves a 21:89%-66:52% decrease in the communication cost, and is more robust on different scales of the network topology and the request set than the baselines.

Original languageEnglish
JournalIEEE Transactions on Networking
DOIs
Publication statusAccepted/In press - 2025
Externally publishedYes

Keywords

  • Quantum networks
  • branch-and-bound
  • multi-agent reinforcement learning
  • multi-qubit entanglement

Fingerprint

Dive into the research topics of 'Efficient and Flexible Multi-Qubit Entanglement Transmission in Quantum Networks'. Together they form a unique fingerprint.

Cite this