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.
Authors
- Eduardo Mosqueira-Rey (ORCID: https://orcid.org/0000-0002-4894-1067)
- Samuel Magaz-Romero (ORCID: https://orcid.org/0000-0001-6438-5569)
- Vicente Moret‐Bonillo (ORCID: https://orcid.org/0000-0002-9435-3151)
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
- 0.00