Minerva: Enhancing Quantum Network Performance for High-Fidelity Multimedia Transmission

Quantum networks have the potential to transmit multimedia data with high security and efficiency. However, ensuring high-fidelity transmission links remains a significant challenge. Current work mainly focuses on selecting high-fidelity link transmissions for single packages, neglecting the link allocation problem for multi-package transmissions. This limitation leads to reduced scalability in the practical applications of quantum networks. In addition, when selecting a single link, existing methods can easily fall into the exploration and exploitation dilemma, given various fidelity distributions. To address this issue, this paper proposes a new framework that selects high-fidelity link transmission for multiple tasks through median elimination to estimate fidelity and transmission strategies, thereby improving the application scalability of quantum networks. To optimize the transmission of multimedia chunks in a quantum network, we can employ the scheduling strategy to maximize the cumulative profit of chunk transmissions while considering the fidelity of the links and the overall network utilization. Through extensive experiments, our proposal demonstrates significant advantages. Compared to the randomized method, Minerva reduces bounce number and execution time by 12% 28% and 8% 32%, respectively, while improving average fidelity by 15%. Compared with the uniformly distributed method, our approach decreases bounce number by 24% 30% and execution time by 8% 32% and enhances average fidelity by 11% 21%.