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. Long-distance and stable entanglements are deemed as the lifeline in quantum network communication. However, some weaknesses, e.g., quantum decoherence, scarce quantum memory, and uneven-quality 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 multi-qubit 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 language | English |
|---|---|
| Pages (from-to) | 1761-1776 |
| Number of pages | 16 |
| Journal | IEEE/ACM Transactions on Networking |
| Volume | 34 |
| DOIs | |
| Publication status | Published - 2026 |
| Externally published | Yes |
Keywords
- Quantum networks
- branch-and-bound
- multi-agent reinforcement learning
- multi-qubit entanglement
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