<p class="jove_content">QTSMixer, a hybrid quantum-classical model, enhances network traffic prediction by addressing TSMixer's limitations in periodic signals and long-term forecasts. It introduces quantum neural network components controlled by trainable parameters , outperforming TSMixer by 6.72% in long-term predictions on real-world data.</p>

a-quantum-classical-hybrid-model-for-long-term-network-traffic

A Quantum-Classical Hybrid Model for Long-term Network Traffic Prediction

Network traffic prediction, a critical application of time series analysis, is essential for network management and optimization. Traditional statistical ...

Institution - TuringQ Co., Ltd.

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