QAI
applies quantum artificial intelligence to optimise financial solutions
The QAI project aims to address technological needs in the optimisation of financial solutions in areas such as fraud detection, risk analysis, and customer segmentation through the research and development of a hybrid quantum-classical algorithmic architecture for Machine Learning models (QML), understood as Quantum Artificial Intelligence (QAI) focused on generating insights through the automatic recognition of patterns.
The QAI project aims to address technological needs
Challenges
To identify operational synergies between classical and quantum computing paradigms.
To develop purely quantum algorithms that provide improvements in accuracy compared to classical ones.
Solution
The solution, consisting of the application of quantum computing to the financial sector, will enable operations in finance that currently require significant computational resources. Additionally, IZERTIS has a dedicated business development unit focused on banking, allowing it to understand the sector’s needs and to collaborate with partners willing to implement it.
Participating entities
Funding entity
Instituto para el Desarrollo Económico del Principado de Asturias
Partner
Izertis