Self-Adaptive Quantum Buffering For Cross-Domain Networks

Authors: Manoj R Chakravarthi, Sunil Kulkarni

Abstract: As networks continue to grow in complexity, managing network congestion and reducing packet loss has become a critical challenge. Traditional methods for buffer management often fail to adapt quickly to dynamic and unpredictable traffic patterns, leading to poor network performance, especially in cross-domain networks (e.g., between ISPs, data centers, and wireless networks). This paper proposes a novel approach, Self-Adaptive Quantum Buffering for Cross-Domain Networks (SAQBS), which combines quantum computing for congestion prediction with machine learning algorithms for real-time buffer management. By predicting network congestion more accurately, the proposed system reduces packet loss, increases throughput, and lowers latency compared to traditional methods. Through detailed simulations, we show that this approach provides significant improvements in network performance.

DOI: http://doi.org/10.5281/zenodo.17455043