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Lecture notes in networks and systems

Quantum-Driven Supply Chain Optimisation: Revolutionising Logistics with Blockchain and Quantum Computing

K. Senthilkumar, Sabeetha Saraswathi Sugumaran, Jeyamedona Peter Alexander, Sabarinathan Gurunathan, Karthikeyan, Nagarjuna Rao Chinnaiah

Published Nov 18, 2025• 0 citations
Publisher
DOI
10.1007/978-981-96-9245-3_21

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Quantum computing, which has the ability to solve the most challenging logistics and supply chain management problems, is the most fascinating advancement in computation for the ensuing ten years. The current state of quantum computing is reviewed in this study, along with recommendations for further research. The transformational potential of quantum 68 computing is explored in this study within the framework of supply chain management optimization. The necessity for cutting-edge computational tools grows more and more important as supply networks get more complex. With its capacity to analyze huge datasets and resolve challenging optimization issues, quantum computing presents a promising way to transform supply chain operations. This study examines how quantum computing might improve supply chain efficiency, address the complex problems associated with contemporary supply chains, and provide significant value to both enterprises and consumers. First, fundamental ideas related to quantum computing and computers are introduced. The dominant quantum technologies are then described. The third section includes instances of contemporary supply chain management and logistical advancements as well as a study of the quantum sector. Fourth, suggestions for further investigation are given. This review intends to inform and motivate the application of quantum computing to supply chain and logistics optimisation, machine learning, and artificial intelligence.

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This chapter explores how quantum computing can revolutionise the quick commerce industry, focusing on logistics and supply chain management to boost efficiency and sustainability. Quick commerce, an emerging trend in e-commerce, promises incredibly fast delivery speeds to satisfy ever-growing consumer expectations. But this rapid expansion isn’t without its hurdles, particularly when it comes to maintaining smooth operations and being eco-friendly. Quantum computing steps in as a potential game-changer, bringing its powerful processing abilities to the table. Integrating quantum computing into quick commerce could transform logistics operations, from planning delivery routes to managing warehouse resources. It's not just about speeding things up; it's about rethinking the entire supply chain, including how we handle inventory and the final leg of delivery. Quantum algorithms, which are built on the principles of quantum mechanics, can help companies predict demand more accurately, restock shelves faster, cut down on waste, and enhance overall efficiency. These algorithms are especially good at optimising routes in real time, considering various factors to ensure quicker, more dependable deliveries. This study aims to bridge the gap between the theory and practice of quantum computing in logistics. It examines how quantum computing can be used, its possible benefits, and the challenges it might face in the quick commerce sector. The chapter argues that quantum computing could usher in a new era of logistics management characterised by unprecedented efficiency in routing deliveries, controlling inventory, and allocating resources. Highlighting the use of quantum algorithms for dynamic routing and demand forecasting underscores the potential for creating a more agile and eco-friendly delivery system. Ultimately, this research shines a light on how we can turn the conceptual promise of quantum computing into real-world improvements in quick commerce logistics, advocating for a future where quantum computing leads to a sustainable and efficient quick commerce ecosystem.

Chapman & Hall/CRC eBooks•Jun 11, 2025•2 citations
Quantum computing, which has the ability to solve the most challenging logistics and supply chain management problems, is the most fascinating advancement in computation for the ensuing ten years. The current state of quantum computing is reviewed in this study, along with recommendations for further research. The transformational potential of quantum 68 computing is explored in this study within the framework of supply chain management optimization. The necessity for cutting-edge computational tools grows more and more important as supply networks get more complex. With its capacity to analyze huge datasets and resolve challenging optimization issues, quantum computing presents a promising way to transform supply chain operations. This study examines how quantum computing might improve supply chain efficiency, address the complex problems associated with contemporary supply chains, and provide significant value to both enterprises and consumers. First, fundamental ideas related to quantum computing and computers are introduced. The dominant quantum technologies are then described. The third section includes instances of contemporary supply chain management and logistical advancements as well as a study of the quantum sector. Fourth, suggestions for further investigation are given. This review intends to inform and motivate the application of quantum computing to supply chain and logistics optimisation, machine learning, and artificial intelligence.
The work explores the integration of quantum computing into logistics and supply chain management, emphasising its potential for use in complex optimisation problems. The discussion introduces quantum computing principles, focusing on quantum annealing and gate-based quantum computing, with the Quantum Approximate Optimisation Algorithm and Quantum Annealing as key algorithmic approaches. The paper provides an overview of quantum approaches to routing, logistic network design, fleet maintenance, cargo loading, prediction, and scheduling problems. Notably, most solutions in the literature are hybrid, combining quantum and classical computing. The conclusion highlights the early stage of quantum computing, emphasising its potential impact on logistics and supply chain optimisation. In the final overview, the literature is categorised, identifying quantum annealing dominance and a need for more research in prediction and machine learning is highlighted. The consensus is that quantum computing has great potential but faces current hardware limitations, necessitating further advancements for practical implementation.
This chapter explores how quantum computing can revolutionise the quick commerce industry, focusing on logistics and supply chain management to boost efficiency and sustainability. Quick commerce, an emerging trend in e-commerce, promises incredibly fast delivery speeds to satisfy ever-growing consumer expectations. But this rapid expansion isn’t without its hurdles, particularly when it comes to maintaining smooth operations and being eco-friendly. Quantum computing steps in as a potential game-changer, bringing its powerful processing abilities to the table. Integrating quantum computing into quick commerce could transform logistics operations, from planning delivery routes to managing warehouse resources. It's not just about speeding things up; it's about rethinking the entire supply chain, including how we handle inventory and the final leg of delivery. Quantum algorithms, which are built on the principles of quantum mechanics, can help companies predict demand more accurately, restock shelves faster, cut down on waste, and enhance overall efficiency. These algorithms are especially good at optimising routes in real time, considering various factors to ensure quicker, more dependable deliveries. This study aims to bridge the gap between the theory and practice of quantum computing in logistics. It examines how quantum computing can be used, its possible benefits, and the challenges it might face in the quick commerce sector. The chapter argues that quantum computing could usher in a new era of logistics management characterised by unprecedented efficiency in routing deliveries, controlling inventory, and allocating resources. Highlighting the use of quantum algorithms for dynamic routing and demand forecasting underscores the potential for creating a more agile and eco-friendly delivery system. Ultimately, this research shines a light on how we can turn the conceptual promise of quantum computing into real-world improvements in quick commerce logistics, advocating for a future where quantum computing leads to a sustainable and efficient quick commerce ecosystem.