Robust estimation of the intrinsic dimension of data sets with quantum cognition machine learning

Robust estimation of the intrinsic dimension of data sets with quantum cognition machine learning

Abstract We propose a new data representation method based on Quantum Cognition Machine Learning and apply it to manifold learning, specifically to the estimation of intrinsic dimension of data sets. The idea is to learn a representation of each data point as a quantum state, encoding both local pro...

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Main Authors: Luca Candelori, Alexander G. Abanov, Jeffrey Berger, Cameron J. Hogan, Vahagn Kirakosyan, Kharen Musaelian, Ryan Samson, James E. T. Smith, Dario Villani, Martin T. Wells, Mengjia Xu
Format: Article
Language:English
Published: Nature Portfolio 2025-02-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-025-91676-8
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https://doi.org/10.1038/s41598-025-91676-8

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