Quantum Variational Autoencoder Based on Weak Measurements With Fuzzy Filtering of Input Data

Quantum Variational Autoencoder Based on Weak Measurements With Fuzzy Filtering of Input Data

Introduction. The development of quantum computing and artificial intelligence necessitates the development of hybrid quantum-classical algorithms for solving complex computational problems. The relevance of the research is due to the need for new approaches to making creative AI decisions in condit...

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Bibliographic Details
Main Authors: Vyacheslav Korolyov, Maksim Ogurtsov, Oleksandr Khodsinskyi
Format: Article
Language:English
Published: V.M. Glushkov Institute of Cybernetics 2025-03-01
Series:Кібернетика та комп'ютерні технології
Subjects:
quantum computing
neural network
variational autoencoder
fuzzy logic
weak measurements
Online Access:http://cctech.org.ua/13-vertikalnoe-menyu-en/711-abstract-25-1-11-arte
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http://cctech.org.ua/13-vertikalnoe-menyu-en/711-abstract-25-1-11-arte

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