Probability Space Quantum Machine Learning (PSML)

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

Probability Space Quantum Machine Learning (PSML) represents a paradigm shift in machine learning, extending beyond traditional static models to leverage the inherent properties of quantum probability spaces. This research explores the potential of PSML to significantly enhance machine learning model performance, particularly through the optimization of models based on quantum feature spaces. The core claim of this work is that PSML not only facilitates quantum machine learning but actively refines models to improve generalization. This is achieved through the utilization of quantum probability spaces, offering a novel approach to optimization.

DOI: 10.5281/zenodo.22486591

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