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quantum-australia.com
article
https://www.quantum-australia.com/use-cases/quantum-computing-for-optimising-…
Quantum computing has the potential to improve logistics by solving complex optimization problems more efficiently, leading to faster and more cost-effective operations. Quantum computers have the potential to provide more efficient solutions to certain types of optimization problems, such as route planning for a fleet of vehicles. In this use case, quantum computing was tested to solve a specific logistics problem known as the “dial-a-ride” problem, where a fleet of vehicles must efficiently pick up and deliver shipments to specific locations while considering constraints like time windows and vehicle capacity. The quantum approach uses algorithms such as the Variational Quantum Eigensolver (VQE) and Grover’s algorithm, which provide faster solutions for certain optimization problems compared to classical methods. While quantum solutions are still in the experimental phase, early simulations showed promising results, indicating that quantum computing could improve optimization in logistics once the technology matures. As quantum computing technology matures, the logistics sector could greatly benefit from quantum algorithms capable of solving large-scale optimization problems.
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quantumcomputinginc.com
news
https://quantumcomputinginc.com/news/blogs/quantum-computing-a-new-solution-f…
# Quantum Computing: A New Solution for Supply Chain and Logistics Optimization. While the full capabilities of quantum computers are years away, emerging software solutions aim to bridge classical and quantum computing worlds using quantum-ready techniques that produce better results for constrained optimization, using larger data sets on classical computers and eventually for quantum systems. Understanding and implementing quantum computing techniques today can help put supply chain and logistics-reliant companies (e.g., those in e-commerce, manufacturing, transportation, distribution, etc.) ahead of the competition. Here are some of the benefits of quantum computing and quantum-ready constrained optimization techniques for manufacturing supply chains, from inbound components and raw materials to outbound distribution:. Constrained optimization can help streamline everyday supply chain management and logistics decision-making to select the best options from mountains of critical data. Quantum computing techniques can apply CO and empower supply chain and logistics-oriented companies with the in-depth insights needed to optimize their supply chain—from production to warehouse management and final distribution.
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apcoworldwide.com
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https://apcoworldwide.com/blog/quantum-computing-the-quiet-revolution-transfo…
# Quantum Computing: The Quiet Revolution Transforming Logistics. ### Why Quantum Computing Matters in Logistics. The potential of quantum computing in logistics is no longer just theoretical. Companies like D-Wave and Mphasis are testing hybrid systems that combine quantum and classical computing to improve vehicle routing, warehouse operations and urban delivery performance. Companies are securing intellectual property for quantum-based solutions to logistics challenges. The signals are clear: the companies that act now to secure intellectual property, build quantum literacy and map use cases will be the ones leading the next wave of innovation in logistics. Quantum computing is no longer just a concept for physicists—it’s becoming a practical tool to tackle the hardest, messiest and most human-scale optimization challenges in logistics, like how to deliver 100,000 packages across 300 cities before the weekend. However, the broader foresight question isn’t whether quantum computing will be used in logistics; it’s when and how prepared we are when it is.
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unisys.com
news
https://www.unisys.com/blog-post/ecs/from-qubits-to-cubic-feet-quantum-logist…
* Quantum computing has the potential to transform supply chain and logistics management. The introduction of quantum logistics — a concept that could transform how we handle data, make decisions and optimize our supply chains — is poised to reshape the future of logistics management. In a recent episode of *The Loadstar Podcast*, Sean Tinney, vice president of global Enterprise Computing Solutions at Unisys, shared valuable insights into the significance of quantum logistics and its impact on the supply chain landscape. The real-life application of quantum computing is changing logistics management — a ripe use case for this technology due to the industry facing four key challenges:. The technology's near-real-time data processing and enhanced decision-making capabilities can help bring unprecedented efficiency, resilience and sustainability to logistics and shipping, setting a new standard for supply chain excellence. Unisys Logistics Optimization™ combines quantum computing, AI and advanced analytics to help logistics leaders realize efficiency gains to boost their bottom line.
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quantumconsortium.org
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https://quantumconsortium.org/publication/quantum-computing-for-transportatio…
# Quantum Computing for Transportation and Logistics. [Download Report](https://quantumconsortium.org/mp-files/quantum-computing-for-transportation-and-logistics-2024.pdf/). *Quantum Computing for Transportation and Logistics*. <https://quantumconsortium.org/publication/quantum-computing-for-transportation-and-logistics/>. To assess the current state and future possibilities of quantum computing and the transportation and logistics industry, QED-C’s Use Cases Technical Advisory Committee led this study based on a workshop exploring the feasibility and impact of different use cases.1 Quantum computing (QC) offers intriguing solutions to supply chain, transportation, and logistics problems that classical computers cannot completely solve. From analysis of the current state and the feasibility and impact of use cases of quantum computing for transportation and logistics applications, four use cases emerge as those that could have the greatest impact in the relatively near term:. In addition, this report puts forward five recommendations for boosting development and adoption of QC technologies by the transportation and logistics industry:. One of the most impactful uses of quantum computers in transportation and logistics is continuous route optimization, which can decrease emissions and fuel usage across transport methods.
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lingarogroup.com
article
https://lingarogroup.com/blog/when-quantum-computing-meets-supply-chain-manag…
# When Quantum Computing Meets Supply Chain Management. Quantum Computing in the Supply Chain Quantum Computing in the Supply Chain. The holy grail of quantum computing nowadays is to build a quantum computer able to achieve “quantum supremacy.” It means a quantum computer solving practical problems faster than known classical algorithms can, even when powered by supercomputers. In supply chain management, this means using quantum computers to make more complex analytic models that are more responsive due to shorter computation time. ## Use cases of quantum computing in the supply chain. Quantum computers, on the other hand, speed up solving optimization problems by harnessing the primary principle of quantum computing. Most optimization problems are translated into worlds of quantum computation by stating them as energy minimization problems. One of them is quantum approximate optimization algorithm (QAOA), which can be applied for combinatorial optimization problems that are common in supply chain management. Logistics and supply chain management solutions based on quantum computation will increase over the next few years.
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arxiv.org
article
https://arxiv.org/html/2402.17520v2
They state that real-world problems often involve numerous variables and constraints that classical algorithms struggle to address effectively, and that quantum optimisation approaches, such as quantum annealing (QA) and hybrid algorithms like the Quantum Approximate Optimisation Algorithm (QAOA), are promising for their potential to provide higher-quality solutions and faster solution times. Their analysis, using Amazon Braket and D-Wave’s QA, demonstrates the superiority of the hybrid algorithm over full QA, suggesting potential advantages in scenarios with lower data “clusterability.” Despite current challenges, the study identifies a cost-effective relationship between running quantum algorithms and result quality, indicating quantum computing’s theoretical advantage in solving constrained clustering problems. The authors create a QUBO formulation and then employ both classical and hybrid quantum-classical algorithms to solve these QUBOs. The quantum platforms, particularly D-Wave, are found to be promising for addressing this logistics problem due to their qubit support, compared to gate-based and quantum-inspired optimisers.
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dwavequantum.com
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https://www.dwavequantum.com/how-quantum-powered-logistics-management-is-chan…
How quantum computing optimizes logistics and helps drive substantial impact in operations. What is different about quantum computing, and why classical