QAI - Izertis

QAI

quantum artificial intelligence to optimise financial solutions

The QAI project aims to address technological needs related to the optimisation of financial solutions in areas such as fraud detection, risk analysis, and customer segmentation through research and development of a hybrid quantum-classical algorithmic architecture for Machine Learning (QML) models. This is understood as Quantum Artificial Intelligence (QAI), focused on generating ideas from automatic pattern recognition.

The QAI project aims to address technological needs related to the optimisation of financial solutions in areas such as fraud detection, risk analysis, and customer segmentation through research and development of a hybrid quantum-classical algorithmic architecture for Machine Learning (QML) models. This is understood as Quantum Artificial Intelligence (QAI), focused on generating ideas from automatic pattern recognition.

Challenges

Identify operational symbioses between classical and quantum computing paradigms.

Develop proprietary purely quantum algorithms that deliver improved accuracy compared with classical ones.

Solution

The solution, based on the application of quantum computing to the financial sector, will enable the execution of operations that currently require vast computational resources.

Moreover, IZERTIS has a dedicated business development unit focused on banking, which allows it to understand the sector’s needs and collaborate with partners eager to implement this technology.