Quantum-probabilistic SVD: complex-valued factorization of matrix data

Quantum-probabilistic SVD: complex-valued factorization of matrix data

The paper reports a method for compressed representation of matrix data on the principles of quantum theory. The method is formalized as complex-valued matrix factorization based on standard singular value decomposition. The developed approach establishes a bridge between standard methods of semanti...

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Bibliographic Details
Main Authors: Shyju Kozhisseri, Ilya A. Surov
Format: Article
Language:English
Published: Saint Petersburg National Research University of Information Technologies, Mechanics and Optics (ITMO University) 2022-06-01
Series:Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki
Subjects:
quantum probability
cognitive modeling
semantic analysis
wavefunction
matrix decomposition
Online Access:https://ntv.ifmo.ru/file/article/21273.pdf

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