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Quantum Associative Memory with Improved Distributed Queries

2012/04/30 by J.-P. Tchapet Njafa, J. -P. Tchapet Njafa, S. G. Nana Engo +2
Computer Science · Mathematics · Physics and Astronomy · #Algorithm #Artificial intelligence #Artificial neural network #Associative property #Computer science #Content-addressable memory #Mathematics #Neural Networks and Applications #Quantum #Quantum Computing Algorithms and Architecture #Theoretical computer science #quant-ph

paper · pdf · doi:10.1007/s10773-012-1237-0

16 pages, 10 figures, submitted to Int J Theor Phys

arxiv created 2012/04/30 · openalex publication_date 2012/06/29 · arxiv updated 2015/06/04 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05

Abstract

The paper proposes an improved quantum associative algorithm with distributed query based on model proposed by Ezhov et al. We introduce two modifications of the query that optimized data retrieval of correct multi-patterns simultaneously for any rate of the number of the recognition pattern on the total patterns. Simulation results are given.

Citations