AI AND QUANTUM COMPUTING FOR CARBON-NEUTRAL SUPPLY CHAINS: A SYSTEMATIC REVIEW OF INNOVATIONS

Authors

  • Sanjai Vudugula Management Information Systems, College of Business, Lamar University, USA. Author
  • Sanath Kumar Chebrolu Management Information Systems, College of Business, Lamar University, USA. Author
  • Sadia Zaman Management Information Systems, College of Business, Lamar University, USA. Author
  • Rony Saha Management Information Systems, College of Business, Lamar University, USA. Author

DOI:

https://doi.org/10.63125/nrdx7d32

Keywords:

Artificial Intelligence, Quantum Computing, Carbon-Neutral Supply Chains, Sustainable Logistics, Predictive Analytics

Abstract

The urgent global imperative to mitigate climate change has brought carbon-neutral supply chains to the forefront of sustainability and operations management discourse. As organizations strive to meet net-zero emission targets, technologies such as Artificial Intelligence (AI) and Quantum Computing (QC) have emerged as powerful enablers of this transformation. This systematic literature review investigates the roles of AI and QC in achieving carbon-neutral supply chains, examining how these technologies optimize forecasting, logistics, procurement, emissions monitoring, and real-time decision-making across diverse industrial contexts. By following the PRISMA 2020 methodology, a total of 87 peer-reviewed articles published between 2015 and 2025 were identified, screened, and synthesized from databases including Scopus, Web of Science, IEEE Xplore, ScienceDirect, and Google Scholar. The review reveals that AI significantly enhances operational sustainability through intelligent demand forecasting, inventory optimization, carbon footprint assessment, and green procurement decision-making. Quantum computing, while still in its early stages of maturity, offers high-potential applications in solving complex optimization problems such as vehicle routing, energy grid balancing, and low-emission manufacturing simulation. The integration of AI and QC—especially when combined with technologies like digital twins and blockchain—was found to support advanced sustainability modeling, emissions traceability, and secure carbon data verification. These integrated systems enable supply chains to become not only more efficient but also more transparent and accountable in their environmental impact. However, the review also highlights substantial challenges to implementation, including quantum hardware limitations, high energy demands, cost barriers, and the lack of integration with existing enterprise systems. This study contributes to the growing field of sustainable digital transformation by offering a comprehensive understanding of how AI and quantum technologies can jointly support carbon neutrality objectives in global supply chain ecosystems.

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Published

2025-04-01

How to Cite

Sanjai Vudugula, Sanath Kumar Chebrolu, Sadia Zaman, & Rony Saha. (2025). AI AND QUANTUM COMPUTING FOR CARBON-NEUTRAL SUPPLY CHAINS: A SYSTEMATIC REVIEW OF INNOVATIONS. American Journal of Interdisciplinary Studies, 6(1), 40-75. https://doi.org/10.63125/nrdx7d32