Implementing Fuzzy Logic with Quantum Computing

In this paper we present our proposal for a fuzzy logic model based on Quantum Computing. After analyzing how logical connectives are constructed and applied in fuzzy logic, we research how Quantum Computing can provide a new model to manage fuzzy variables, mainly using superposition of states for the implementation of fuzzy information. A comparison between our proposal and several classical connectives is carried out, including negation, conjunction and disjunction. We prove that quantum fuzzy connectives present a proper behavior, manifesting the peculiarities of the quantum paradigm, which is beneficial for the representation of uncertain knowledge. We conclude on how this work establishes a model that can be further expanded for the development of quantum fuzzy reasoning.

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Publication Details

Published
2024-11-01
DOI
https://doi.org/10.17979/spudc.9788497498913.56
Primary Topic
Neural Networks and Applications
Type
article
Field-Weighted Citation Impact
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Implementing Fuzzy Logic with Quantum Computing

Eduardo Mosqueira-Rey, Samuel Magaz-Romero, Vicente Moret‐Bonillo
Neural Networks and Applications
article

Implementing Fuzzy Logic with Quantum Computing

Eduardo Mosqueira-Rey, Samuel Magaz-Romero, Vicente Moret‐Bonillo
article en

Abstract

In this paper we present our proposal for a fuzzy logic model based on Quantum Computing. After analyzing how logical connectives are constructed and applied in fuzzy logic, we research how Quantum Computing can provide a new model to manage fuzzy variables, mainly using superposition of states for the implementation of fuzzy information. A comparison between our proposal and several classical connectives is carried out, including negation, conjunction and disjunction. We prove that quantum fuzzy connectives present a proper behavior, manifesting the peculiarities of the quantum paradigm, which is beneficial for the representation of uncertain knowledge. We conclude on how this work establishes a model that can be further expanded for the development of quantum fuzzy reasoning.

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Neural Networks and Applications
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