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Alpha-Beta Hybrid Quantum Associative Memory Using Hamming Distance
Angeles Alejandra Sánchez-Manilla1, Itzamá López-Yáñez2, Guo-Hua Sun1
1Centro de Investigación en Computación, Instituto Politécnico Nacional, Unidad Profesional Adolfo López Mateos, Juan de Dios Bátiz s/n esq. Miguel Othón de Mendizábal, Mexico City 07700, Mexico.
Abstract:
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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