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Quantum Machine Learning
Quantum Computing in Intelligent Transportation Systems: A Survey
arXiv
Authors: Yifan Zhuang, Talha Azfar, Yinhai Wang, Wei Sun, Xiaokun Cara Wang, Qianwen Vivian Guo, Ruimin Ke
Year
2024
Paper ID
67014
Status
Preprint
Abstract Read
~2 min
Abstract Words
74
Citations
N/A
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.
Why This Paper Matters
- This paper contributes to the Quantum Machine Learning research area in the Quantum Articles archive.
- It adds a 2024 reference point for readers tracking recent quantum research.
- Quantum computing, a field utilizing the principles of quantum mechanics, promises great advancements across various industries.
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