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Pourabdollah, A 
ORCID: https://orcid.org/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: | Number Type 10.1109/tfuzz.2021.3113561 DOI 1473462 Other |
| 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: | https://irep.ntu.ac.uk/id/eprint/44258 |
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