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Research Project
QLMD: Quantum Computing for an efficient urban logistical ecosystem
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Applying quantum computing to urban logistics to optimize routes, reduce costs and emissions, improve urban sustainability, and tackle complex problems with scalable solutions.
Where: Italy
Where: Italy
Challenge
In logistics ecosystems, issues arise related to the variety of routes and operational constraints. In this context, advancements in quantum computing are expected to enable the processing of large volumes of data from such ecosystems, optimizing results based on customer needs and simultaneously evaluating potential solutions.
Approach
QLMD offers an innovative solution to urban logistics challenges, including waste collection, last-mile delivery, the Traveling Salesman Problem (TSP), and the Vehicle Routing Problem (VRP). The project enables the minimization of operational costs, time, distance, traffic congestion, and fuel consumption despite logistical constraints. It also enhances urban sustainability by reducing traffic and emissions and leveraging predictive analytics to efficiently manage delivery schedules, urban restrictions, and traffic regulations.
Digital Ecosystem
Solution
Digital Ecosystem
QLMD introduces optimization algorithms capable of reducing waste and emissions, thereby contributing to sustainability. The project focuses on developing practical and implementable use cases to guide the creation of a solid quantum strategy. By refining data modeling techniques, it deepens the understanding of complex problems such as VRP and TSP, adopting approaches inspired by quantum technology. Additionally, it creates a series of datasets to implement the algorithms, evaluate the proposed solutions, and develop a scalable quantum solution to address NP-hard problems.
Engineering is responsible for the development of quantum computing algorithms for application to TSP problems.
The research project is funded by the National Recovery and Resilience Plan (PNRR), Mission 4 Component 2.
Expected Results
Increased efficiency of logistics ecosystems
Reduced operating costs
Impacts
Technologies
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Research Project
ARIEN: an AI platform to support the fight against illegal drug trafficking
A holistic approach based on artificial intelligence tools for monitoring the production and illegal trafficking of drugs.
-
Case Study
Towards Intelligent and Scalable Workforce Management
Together with UKG, a Workforce Management platform was implemented to one of the largest luxury fashion brands to globally improve time tracking, planning, and operational efficiency.
-
Case Study
Reengineering of the Health Record of the Regione Molise
The evolution will facilitate information sharing among healthcare facilities and ensure citizens access to an integrated and coordinated service.
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