Quantum cognition machine learning: financial forecasting
A new paradigm for training machine learning algorithms based on quantum cognition is presented
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Traditional machine learning methods suffer from the curse of dimensionality. Here, Ryan Samson, Jeffrey Berger, Luca Candelori, Vahagn Kirakosyan, Kharen Musaelian and Dario Villani introduce a novel machine learning approach based on the ideas of quantum cognition, which they call quantum cognition machine learning (QCML). The complexity of QCML scales linearly with the number of inputs, rather than exponentially. The authors demonstrate an application of QCML to
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