Quantum associative memory with improved distributed queries
J.-P. Tchapet Njafa, S. G. Nana Engo, Paul Woafo
TL;DR
This paper presents an improved quantum associative memory algorithm utilizing distributed queries, enhancing the simultaneous retrieval of multiple patterns with optimized data access, supported by simulation results.
Contribution
The paper introduces two modifications to the distributed query method that improve data retrieval efficiency in quantum associative memory systems.
Findings
Enhanced retrieval of multiple patterns simultaneously
Optimized query modifications improve data access
Simulation confirms effectiveness of the proposed method
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.
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