A quantum-fidelity proximity measure from QCML-trained quantum states gives lower k-NN prediction error than random forest proximity for high-yield corporate bond similarity.
rfproximity: A python package for rf proximity analysis,
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Supervised Similarity for High-Yield Corporate Bonds with Quantum Cognition Machine Learning
A quantum-fidelity proximity measure from QCML-trained quantum states gives lower k-NN prediction error than random forest proximity for high-yield corporate bond similarity.