Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Quantum associative memory with linear and non-linear algorithms for the
  diagnosis of some tropical diseases   This paper presents the QAMDiagnos, a model of Quantum Associative Memory
(QAM) that can be a helpful tool for medical staff without experience or
laboratory facilities, for the diagnosis of four tropical diseases (malaria,
typhoid fever, yellow fever and dengue) which have several similar signs and
symptoms. The memory can distinguish a single infection from a polyinfection.
Our model is a combination of the improved versions of the original linear
quantum retrieving algorithm proposed by Ventura and the non-linear quantum
search algorithm of Abrams and Lloyd. From the given simulation results, it
appears that the efficiency of recognition is good when particular signs and
symptoms of a disease are inserted given that the linear algorithm is the main
algorithm. The non-linear algorithm helps confirm or correct the diagnosis or
give some advice to the medical staff for the treatment. So, our QAMDiagnos
that has a friendly graphical user interface for desktop and smart-phone is a
sensitive and a low-cost diagnostic tool that enables rapid and accurate
diagnosis of four tropical diseases.

16
The categories of this paper are: stat
32
The categories of this paper are: atom-ph
11
The categories of this paper are: hep-lat
12
The categories of this paper are: nucl-th
19
The categories of this paper are: eess
28
The categories of this paper are: alg-geom
31
The categories of this paper are: ao-sci
36
The categories of this paper are: cmp-lg
2
The categories of this paper are: math
5
The categories of this paper are: gr-qc
29
The categories of this paper are: funct-an
6
The categories of this paper are: astro-ph
4
The categories of this paper are: cond-mat
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The categories of this paper are: hep-ex
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The categories of this paper are: adap-org
27
The categories of this paper are: comp-gas