Quantum Machine Learning for Credit Scoring

Understand

In this paper we explore the use of quantum machine learning (QML) applied to credit scoring for small and medium-sized enterprises (SME).

• A quantum/classical hybrid approach has been used with several models, activation functions, epochs and other parameters.
• Results are shown from the best model, using two quantum classifiers and a classical neural network, applied to data for companies in Singapore.
• We observe significantly more efficient training for the quantum models over the classical models with the quantum model trained for 350 epochs compared to 3500 epochs for comparable prediction performance.