Fuzzy logic on quantum annealers

Pourabdollah, A. ORCID: 0000-0001-7737-1393, Acampora, G. and Schiattarella, R., 2021. Fuzzy logic on quantum annealers. IEEE Transactions on Fuzzy Systems. ISSN 1063-6706

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Abstract

Quantum computation is going to revolutionize the world of computing by enabling the design of massive parallel algorithms that solve hard problems in an efficient way, thanks to the exploitation of quantum mechanics effects, such as superposition, entanglement and interference. These computational improvements could strongly influence the way how fuzzy systems are designed and used in contexts, such as big data, where computational efficiency represents a non-negligible constraint to be taken into account. In order to pave the way towards this innovative scenario, this paper introduces a novel representation of fuzzy sets and operators based on Quadratic Unconstrained Binary Optimization (QUBO) problems, so as to enable the implementation of fuzzy inference engines on a type of quantum computers known as quantum annealers.

Item Type: Journal article
Publication Title: IEEE Transactions on Fuzzy Systems
Creators: Pourabdollah, A., Acampora, G. and Schiattarella, R.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 20 September 2021
ISSN: 1063-6706
Identifiers:
NumberType
10.1109/tfuzz.2021.3113561DOI
1473462Other
Rights: © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Divisions: Schools > School of Science and Technology
Record created by: Laura Ward
Date Added: 27 Sep 2021 09:58
Last Modified: 14 Oct 2021 13:06
URI: http://irep.ntu.ac.uk/id/eprint/44258

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