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Quantum-Enhanced Agricultural Supply Chain Optimization With Real-World Case Studies and International Regulatory Compliance
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Author(s): Shashank Solanki (Christ University, India), Vijaishree Dubey Pandey (Christ University, India)and Vijeta Verma (Christ University, India)
Copyright: 2026
Pages: 34
Source title:
Revolutionizing Sustainable Food Production With Quantum Computing
Source Author(s)/Editor(s): Mong Fong Horng (National Kaohsiung University of Science and Technology, Taiwan), Osamah Ibrahim Khalaf (Al-Nahrain University, Iraq), Chin-Shiuh Shieh (National Kaohsiung University of Science and Technology, Taiwan)and Vishal Jain (School of Engineering and Technology, Vivekananda Institute of Professional Studies, New Delhi, India)
DOI: 10.4018/979-8-3373-3957-3.ch007
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Abstract
The research paper deals with fundamental vulnerabilities in the international supply chain of perishable products that were revealed during recent crises like the pandemics crisis and trade wars. We suggest one such quantum optimization model in a binary quadratic formulation (BQM) to enhance the cold-chain logistics as it will integrate production nodes, distribution nodes, and retail nodes. Tests were conducted on two scenarios by the model: wheat shipments in the context of the 202021 Black Sea ports shutdown and Chilean salmon exports with the use of a hybrid quantum-classical method (QAOA). There have been up to 15 percent less goods spoiled, 12 percent shorter deliveries, and a decrease of 30 percent in audit expenditures with blockchain-enabled clear traceability. The research also assesses the implications of quantum parameter tuning to the compliance of WTO SPS and Codex Alimentarius standards. This framework shows the promise of quantum tools as the means of constructing reliable regulation-compliant agri-supply chains.
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