Resumen
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.
Idioma original | Inglés |
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Número de artículo | 789 |
Publicación | Entropy |
Volumen | 24 |
N.º | 6 |
DOI | |
Estado | Publicada - jun. 2022 |