Quantum Computing in Intelligent Transportation Systems: A Survey
Yifan Zhuang, Talha Azfar, Yinhai Wang, Wei Sun, Xiaokun Cara Wang,, Qianwen Vivian Guo, Ruimin Ke

TL;DR
This survey explores how quantum computing could revolutionize intelligent transportation systems by enhancing traffic management, logistics, routing, and autonomous vehicle technologies, highlighting current research, challenges, and future prospects.
Contribution
It provides a comprehensive overview of the intersection between quantum computing and intelligent transportation, identifying key research efforts and future directions.
Findings
Quantum computing has potential to significantly improve traffic optimization.
Current research efforts are exploring quantum algorithms for transportation problems.
Challenges include hardware limitations and algorithm development for practical applications.
Abstract
Quantum computing, a field utilizing the principles of quantum mechanics, promises great advancements across various industries. This survey paper is focused on the burgeoning intersection of quantum computing and intelligent transportation systems, exploring its potential to transform areas such as traffic optimization, logistics, routing, and autonomous vehicles. By examining current research efforts, challenges, and future directions, this survey aims to provide a comprehensive overview of how quantum computing could affect the future of transportation.
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture
