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In this paper we present a model of Quantum Associative Memory which can be ahelpful tool for physicians without experience or laboratory facilities, forthe diagnosis of four tropical diseases (malaria, typhoid fever, yellow feverand dengue) which have similar symptoms. The memory can distinguish singleinfection from multi-infection. The algorithm used for Quantum AssociativeMemory is an improve model of original algorithm made by Ventura for QuantumAssociative Memory. From the simulation results given, it appears that theefficiency of recognition is good when a particular symptom of a disease with asimilar symptoms are inserted.

Quantum associative memory for the diagnosis of some tropical diseases