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Research and application of quantum computing in railway transportation control
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Ming CHAI1, 2, Jialei LIANG1, Bo WU3, Xinyi ZHANG1, Meiling XIE1
Science & Technology Review | 2025, 43(5) : 98 - 106
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Science & Technology Review | 2025, 43(5): 98-106
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Research and application of quantum computing in railway transportation control
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Ming CHAI1, 2, Jialei LIANG1, Bo WU3, Xinyi ZHANG1, Meiling XIE1
Affiliations
  • 1. School of Automation and Intelligence, Beijing Jiaotong University, Beijing 100044, China
  • 2. Beijing Laboratory for Urban Mass Transit, Beijing 100044, China
  • 3. Center for Innovation-Driven Development, National Development and Reform Commission, Beijing 100045, China
Published: 2025-03-13 doi: 10.3981/j.issn.1000-7857.2024.07.00903
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The mathematical nature of rail transport planning and control is an optimisation problem under discrete constraints, which is NP-hard (non-deterministic polynomial) , having high computational complexity. As an important research direction for the future leapfrog development of computing power, quantum computing is expected to provide potential solutions to solve the complex problems in existing large-scale road networks. The basic concepts and algorithms of quantum computing are introduced, and its potential application scenarios in the field of rail transportation are analysed, including the optimization of train scheduling, automatic train operation control and dynamic coupling and decoupling of train groups. The advantages of quantum particle swarm algorithm in solving complex optimisation problems are verified through experiments, which show that quantum computing has significant computational efficiency improvement in dealing with large-scale discrete constrained optimisation problems. However, the application of quantum computing technology in rail transport still faces challenges such as quantum bit decoherence, hardware integration and result security. This paper summarizes the prospects of quantum computing applications in rail transit and the problems it may face, and highlights the potentials and challenges of quantum computing technology in promoting the intelligent development of rail transit.

quantum computing  /  railway transportation  /  quantum algorithm
Ming CHAI, Jialei LIANG, Bo WU, Xinyi ZHANG, Meiling XIE. Research and application of quantum computing in railway transportation control[J]. Science & Technology Review, 2025 , 43 (5) : 98 -106 . DOI: 10.3981/j.issn.1000-7857.2024.07.00903
Year 2025 volume 43 Issue 5
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Article Info
doi: 10.3981/j.issn.1000-7857.2024.07.00903
  • Receive Date:2024-07-23
  • Online Date:2025-06-29
  • Published:2025-03-13
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  • Received:2024-07-23
  • Revised:2024-09-19
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Affiliations
    1. School of Automation and Intelligence, Beijing Jiaotong University, Beijing 100044, China
    2. Beijing Laboratory for Urban Mass Transit, Beijing 100044, China
    3. Center for Innovation-Driven Development, National Development and Reform Commission, Beijing 100045, China
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表12种不同金属材料的力学参数

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Number of
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Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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