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量子经济发展联盟:2024量子计算在交通运输与物流领域的应用研究报告(英文版)(44页).pdf

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1、Quantum Computing for Transportation and Logistics March 2024 1|Tr a n s p o r t a t i o n&L o g i s t i c s Acknowledgments Thank you to the Quantum Economic Development Consortium(QED-C)Use Cases Technical Advisory Committee and the Northwestern University Transportation Center.This report would n

2、ot have been possible without the leadership and contributions of the organizing committee in particular:Stephen Brobst,Teradata Carl Dukatz,Accenture Kevin Glynn,Northwestern University Bret Johnson,Northwestern University Transportation Center Claire Lecornu,SRI/QED-C Alex Luna,AlphaRail Allison S

3、chwartz,D-Wave The National Institute of Standards and Technology provided financial support for this study.About QED-C QED-C is an industry-driven consortium managed by SRI International.With a diverse membership representing industry,academia,government,and other stakeholders,the consortium seeks

4、to enable and grow the quantum industry and associated supply chain.For more about QED-C,visit our website at quantumconsortium.org.Suggested citation Quantum Economic Development Consortium(QED-C).Quantum Computing for Transportation and Logistics.Arlington,VA:March 2024.https:/quantumconsortium.or

5、g/xport24.Government purpose rights Agreement No.:OTA-2019-0001 Contractor Name:SRI International Contractor Address:333 Ravenswood Avenue,Menlo Park,CA 94025 Expiration Date:Perpetual Use,duplication,or disclosure is subject to the restrictions as stated in the Agreement between NIST and SRI.Non-U.

6、S.Government notice Copyright 2024 SRI.All rights reserved.Disclaimer This publication of the Quantum Economic Development Consortium,which is managed by SRI International,does not necessarily represent the views of SRI International,any individual member of QED-C,or any government agency.2|Tr a n s

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根据报告的内容,本文主要探讨了量子计算在运输和物流领域的应用前景。文章指出量子计算在优化、机器学习和仿真方面具有优势,并提出了83个潜在的应用场景。其中,优化问题占比最高,达到55%。文章进一步分析了这些应用场景的影响力和可行性,并确定了四个优先级较高的应用场景:劳动力计划优化、持续路线优化、仓储优化和需求预测。最后,文章提出了五点建议,包括提高业务运营效率、增强供应链安全、解决可持续性问题、优化政府物流任务以及培养量子计算人才。
量子计算如何优化供应链? 量子计算在物流领域的应用前景如何? 量子计算如何助力交通运输业?
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