Improved financial forecasting via quantum machine learning
Sohum Thakkar,
Skander Kazdaghli,
Natansh Mathur
et al.
Abstract:Quantum algorithms have the potential to enhance machine learning across a variety of domains and applications. In this work, we show how quantum machine learning can be used to improve financial forecasting. First, we use classical and quantum Determinantal Point Processes to enhance Random Forest models for churn prediction, improving precision by almost 6%. Second, we design quantum neural network architectures with orthogonal and compound layers for credit risk assessment, which match classical performance… Show more
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