SMU and Tradeteq to develop quantum computing credit scoring for trade finance

Singapore Management University (SMU) and Tradeteq will be embarking on a project which aims to develop quantum computing-based credit scoring methods for companies.

SMU and Tradeteq’s objective for the project is to build a predictive machine learning model which has the potential to improve credit scoring accuracy. The model will be implemented on both a quantum computer and a simulated quantum computer.

The project will enable SMU and Tradeteq to develop quantum neural network algorithms and research optimal configurations of artificial neurons. This may eventually enable quicker credit assessment taking into account growing volume and variety of data that flows in Tradeteq systems.(Fintechnews)

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