Alpha-Beta Hybrid Quantum Associative Memory Using Hamming Distance

This work presents a quantum associative memory (Alpha-Beta HQAM) that uses the Hamming distance for pattern recovery. The proposal combines the Alpha-Beta associative memory, which reduces the dimensionality of patterns, with a quantum subroutine to calculate the Hamming distance in the recovery ph...

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Detalles Bibliográficos
Autores principales: Sánchez-Manilla, Angeles Alejandra, López-Yáñez, Itzamá, Sun, Guo-Hua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9222362/
https://www.ncbi.nlm.nih.gov/pubmed/35741510
http://dx.doi.org/10.3390/e24060789
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author Sánchez-Manilla, Angeles Alejandra
López-Yáñez, Itzamá
Sun, Guo-Hua
author_facet Sánchez-Manilla, Angeles Alejandra
López-Yáñez, Itzamá
Sun, Guo-Hua
author_sort Sánchez-Manilla, Angeles Alejandra
collection PubMed
description This work presents a quantum associative memory (Alpha-Beta HQAM) that uses the Hamming distance for pattern recovery. The proposal combines the Alpha-Beta associative memory, which reduces the dimensionality of patterns, with a quantum subroutine to calculate the Hamming distance in the recovery phase. Furthermore, patterns are initially stored in the memory as a quantum superposition in order to take advantage of its properties. Experiments testing the memory’s viability and performance were implemented using IBM’s Qiskit library.
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spelling pubmed-92223622022-06-24 Alpha-Beta Hybrid Quantum Associative Memory Using Hamming Distance Sánchez-Manilla, Angeles Alejandra López-Yáñez, Itzamá Sun, Guo-Hua Entropy (Basel) Article This work presents a quantum associative memory (Alpha-Beta HQAM) that uses the Hamming distance for pattern recovery. The proposal combines the Alpha-Beta associative memory, which reduces the dimensionality of patterns, with a quantum subroutine to calculate the Hamming distance in the recovery phase. Furthermore, patterns are initially stored in the memory as a quantum superposition in order to take advantage of its properties. Experiments testing the memory’s viability and performance were implemented using IBM’s Qiskit library. MDPI 2022-06-04 /pmc/articles/PMC9222362/ /pubmed/35741510 http://dx.doi.org/10.3390/e24060789 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Sánchez-Manilla, Angeles Alejandra
López-Yáñez, Itzamá
Sun, Guo-Hua
Alpha-Beta Hybrid Quantum Associative Memory Using Hamming Distance
title Alpha-Beta Hybrid Quantum Associative Memory Using Hamming Distance
title_full Alpha-Beta Hybrid Quantum Associative Memory Using Hamming Distance
title_fullStr Alpha-Beta Hybrid Quantum Associative Memory Using Hamming Distance
title_full_unstemmed Alpha-Beta Hybrid Quantum Associative Memory Using Hamming Distance
title_short Alpha-Beta Hybrid Quantum Associative Memory Using Hamming Distance
title_sort alpha-beta hybrid quantum associative memory using hamming distance
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9222362/
https://www.ncbi.nlm.nih.gov/pubmed/35741510
http://dx.doi.org/10.3390/e24060789
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