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

Tingting Li, Ziming Zhao, Jianwei Yin

Abstract:

Quantum networks have the potential to transmit multimedia data with high security and efficiency. However, ensuring high-fidelity transmission links remains a significant challenge. This study proposes a novel framework to enhance quantum network performance via link selection and transport strategy. Specifically, we formalize the quantum fidelity estimation and link selection as a best-arm identification problem, leverage median elimination to estimate fidelity and select the quantum link for each multimedia chunk transmission. To optimize the transmission of multimedia chunks in a quantum network, we can employ the scheduling strategy to maximize the cumulative benefit 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%.

Primary Subject Area: [Systems] Transport and Delivery

Secondary Subject Area: [Systems] Data Systems Management and Indexing

Relevance To Conference: This work contributes significantly to multimedia/multimodal processing by addressing the unique challenges associated with transmitting multimedia data over quantum networks. By developing novel techniques to enhance quantum network performance specifically for multimedia transmission, we aim to overcome existing limitations and enable high-fidelity transmission paths. This advancement is crucial for ensuring the integrity and fidelity of multimedia content, including text, video, and other forms of data. By optimizing routing protocols and resource allocation strategies, our research seeks to establish robust transmission paths capable of efficiently handling multimedia data in quantum networks. This not only enhances the reliability and efficiency of multimedia transmission but also paves the way for new applications and services that leverage quantum networks for multimedia processing. Ultimately, our work contributes to the advancement of multimedia/multimodal processing technologies by unlocking the potential of quantum networks to support high-fidelity multimedia transmission in a secure and efficient manner.

Submission Number: 2717