Enhancing e-commerce logistics efficiency and sustainability via quantum computing and artificial intelligence-based quantum hybrid models

Khan, Muhammad and Amin, Farhan and Din, Minhaj Ud and Abid, Muhammad Ali and de la Torre, Isabel and Caro Montero, Elisabeth and Delgado Noya, Irene UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, elizabeth.caro@uneatlantico.es, irene.delgado@uneatlantico.es (2025) Enhancing e-commerce logistics efficiency and sustainability via quantum computing and artificial intelligence-based quantum hybrid models. The Journal of Supercomputing, 81 (15). ISSN 1573-0484

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Abstract

This study examines how quantum computing, quantum algorithms, and AI-quantum hybrid models enhance logistics efficiency and sustainability in e-commerce. Logistics optimization is analyzed to improve routing, scheduling, and resource allocation. The mixed-method design combines a cross-sectional survey of professionals with semi-structured interviews. Quantitative data were analyzed using structural equation modeling in SmartPLS, and qualitative data were thematically assessed. A perception-based analysis examined how professionals perceive quantum-based logistic models compared to traditional AI-driven approaches. Professionals believe that these models can enhance logistics optimization, increasing efficiency and sustainability. Respondents perceived that quantum models could outperform AI-driven approaches, particularly in routing and freight scheduling, but highlighted high implementation costs, limited expertise, and cross-industry collaboration. Logistic optimization mediates the relationship between quantum technology and performance outcomes. This study provides empirical evidence on industry perceptions and strategic guidance for firms considering quantum logistics. Quantum-enabled logistics enhance operational performance and support global sustainability goals. The findings underscore the opportunities and challenges of quantum logistics, offering guidance for research and adoption strategies.

Item Type:	Article
Uncontrolled Keywords:	E-commerce · Logistics · Supply chain · Quantum computing · Logistics optimization; AI-quantum hybrid models
Subjects:	Subjects > Engineering
Divisions:	Europe University of Atlantic > Research > Scientific Production
Depositing User:	Sr Bibliotecario
Date Deposited:	23 Oct 2025 14:31
Last Modified:	23 Oct 2025 14:31
URI:	http://repositorio.funiber.org/id/eprint/17861

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