• Dr. A. Sathish Kumar
• Dr. Arshiya Sulthana

Quantum computing (QC) presents transformative potential for addressing complex challenges in the transportation and logistics industry, where classical computing often falls short. The ability of quantum systems to perform computations at unprecedented speeds and explore vast solution spaces allows for innovative solutions in air, land, and sea logistics. Key challenges that QC can address include inventory optimization across multiple facilities, route planning, factory and vehicle scheduling, last-mile delivery, fleet management, dynamic pricing, sustainability, and navigation in urban environments. Recent studies and industry trials, including initiatives by Quantum-South, IBM, and ExxonMobil, demonstrate that quantum algorithms can optimize air cargo scheduling, shipping routes, and supply chain allocations, highlighting QC’s applicability in real-world logistics operations. Use cases primarily fall under three categories: optimization, simulation, and machine learning (ML). Optimization dominates, focusing on efficient routing, scheduling, and resource allocation. Simulation enables accurate demand forecasting through digital twins of vehicles, warehouses, and factories, improving supply-demand alignment. Machine learning applications focus on pattern recognition, predictive maintenance, and safety monitoring. Across these domains, quantum computing facilitates decision-making in complex, variable-rich environments, including the coordination of thousands of trucks, trains, planes, and ships. While research-oriented applications, such as battery optimization and pollution minimization, remain longer-term, QC’s near-term benefits in operational efficiency are substantial. McKinsey estimates that QC could deliver an economic impact of up to $63 billion by 2035, positioning transportation and logistics as early beneficiaries. By integrating quantum technologies, companies can achieve faster, more accurate, and environmentally sustainable operations, paving the way for new business models, improved service delivery, and enhanced competitiveness across the global logistics ecosystem.

AI Technologies, Transportation Simulation, Improved Services, Cost Control

"QUANTUM COMPUTING FOR TRANSPORTATION AND LOGISTICS: OPTIMIZING SUPPLY CHAINS AND OPERATIONAL EFFICIENCY", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 8, page no.138-141, August-2025, Available :http://www.jetir.org/papers/JETIRHC06018.pdf

"QUANTUM COMPUTING FOR TRANSPORTATION AND LOGISTICS: OPTIMIZING SUPPLY CHAINS AND OPERATIONAL EFFICIENCY", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 8, page no. pp138-141, August-2025, Available at : http://www.jetir.org/papers/JETIRHC06018.pdf