INGENIOS is a funded research project with the objective is to explore the potential of quantum computing applied to complex combinatorial optimisation and machine learning problems. The project is focusing on the creation of advanced quantum models to solve real-world challenges with a direct impact on areas such as fleet management, production planning and vehicle route optimisation.

The main objective is to investigate innovative quantum optimisation methods for real combinatorial optimisation and machine learning challenges. Focusing on operational problems such asVehicle Routing,Production Planning andFleet Management, the project investigates the complexity of these areas and explores how quantum computing can improve the quality and efficiency of solutions. INGENIOS also intends to experience the use of quantum computing in machine learning by analysing the potential of quantum algorithms for clustering, classification and regression tasks. Through validation on concrete use cases, the project aims to demonstrate how quantum computing power can accelerate and improve decision-making capabilities in industrial contexts.

In parallel, INGENIOS is planning to develop an innovative framework that allows complex problems to be reformulated to be solved with quantum technologies, enabling accurate benchmarking on real optimisation and machine learning problems. This ambitious project represents a fundamental step towards the concrete application of quantum computing in industries, opening up new perspectives for decision support and operational efficiency.

Partner