QNN-VRCS: A Quantum Neural Network for Vehicle Road Cooperation Systems

TL;DR

This paper introduces a quantum neural network leveraging quantum algorithms and image encoding techniques to improve traffic data classification accuracy and robustness in vehicle road cooperation systems.

Contribution

It presents a novel quantum neural network architecture that integrates quantum algorithms and image encoding methods for enhanced traffic data analysis.

Findings

Achieves 97.42% and 84.08% classification accuracy on traffic datasets.

Demonstrates robustness under various noise conditions.

Shows potential for quantum-enhanced intelligent transportation systems.

Abstract

The escalating complexity of urban transportation systems, exacerbated by factors such as traffic congestion, diverse transportation modalities, and shifting commuter preferences, necessitates the development of more sophisticated analytical frameworks. Traditional computational approaches often struggle with the voluminous datasets generated by real-time sensor networks, and they generally lack the precision needed for accurate traffic prediction and efficient system optimization. This research integrates quantum computing techniques to enhance Vehicle Road Cooperation Systems (VRCS). By leveraging quantum algorithms, specifically $UU^{\dagger}$ and variational $UU^{\dagger}$, in conjunction with quantum image encoding methods such as Flexible Representation of Quantum Images (FRQI) and Novel Enhanced Quantum Representation (NEQR), we propose an optimized Quantum Neural Network (QNN). This QNN features adjustments in its entangled layer structure and training duration to better handle the complexities of traffic data processing. Empirical evaluations on two traffic datasets show that our model achieves superior classification accuracies of 97.42% and 84.08% and demonstrates remarkable robustness in various noise conditions. This study underscores the potential of quantum-enhanced 6G solutions in streamlining complex transportation systems, highlighting the pivotal role of quantum technologies in advancing intelligent transportation solutions.