{"id":32203,"date":"2026-07-17T15:42:13","date_gmt":"2026-07-17T13:42:13","guid":{"rendered":"https:\/\/www.ifabfoundation.org\/?post_type=project&p=32203"},"modified":"2026-07-28T10:39:27","modified_gmt":"2026-07-28T08:39:27","slug":"qlmd-quantum-computing-for-efficient-urban-logistical-ecosystem","status":"publish","type":"project","link":"https:\/\/www.ifabfoundation.org\/en\/project\/qlmd-quantum-computing-for-efficient-urban-logistical-ecosystem\/","title":{"rendered":"QLMD: Quantum Computing for Efficient Urban Logistical Ecosystem"},"content":{"rendered":"

National Centre for HPC, Big Data and Quantum Computing (ICSC), a project funded by the European Union \u2013 NextGenerationEU \u2013 and by Italy’s National Recovery and Resilience Plan (PNRR) \u2013 Mission 4, Component 2.<\/strong><\/p>\n

Objectives<\/strong><\/h3>\n

Quantum computing offers an innovative solution to the complex challenges of urban logistics problems, including waste collection and last-mile delivery, addressing problems such as the Traveling Salesman Problem and the Vehicle Routing Problem. This will make it possible to minimize operational costs, such as time, distance, traffic congestion, and fuel consumption, despite various logistics constraints.<\/p>\n

Initial challenge<\/strong><\/h3>\n

The project addresses a varied and complex problem, due to the variety of routes, diversification of production, and operational constraints. It also keeps in mind the growing need to respect environmental sustainability and achieve customer satisfaction. Quantum computing is a resource capable of easily processing this large amount of data, optimizing results based on customer needs, and evaluating multiple potential solutions simultaneously.<\/p>\n

Solution<\/strong><\/h3>\n

The result will lead to optimization of urban logistics systems: thanks to improved predictive analysis algorithms made possible by quantum computing, it will be possible to reduce waste and emissions while ensuring greater sustainability for these systems.<\/p>\n

Benefits<\/strong><\/h3>\n

The efficiency of logistics ecosystems will translate into greater efficiency and reduced operational costs. Furthermore, the project aims to minimize logistics-related risks, resulting in increased economic activity and improved quality of life. This will occur with a view to reducing carbon emissions and fuel consumption by identifying optimized routes.<\/p>\n

IFAB’s role<\/strong><\/h3>\n

IFAB contributed to the development and integration of quantum computing methodologies and optimization tools needed to address one of the classic urban logistics problems: optimal delivery route planning, formalized as the Traveling Salesman Problem (TSP).<\/p>\n

IFAB’s technical contribution was organized on four fronts:<\/p>\n