Quantum algorithms for solving data envelopment analysis models

Malekmohammadi, Najmeh; Ebrahimnejad, Ali; Sayedsalehi, Samira

doi:10.22075/ijnaa.2022.26054.3208

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	Quantum algorithms for solving data envelopment analysis models
International Journal of Nonlinear Analysis and Applications
مقاله 238، دوره 14، شماره 1، فروردین 2023، صفحه 3063-3070 اصل مقاله (426.77 K)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22075/ijnaa.2022.26054.3208
نویسندگان
Najmeh Malekmohammadi^* ¹؛ Ali Ebrahimnejad²؛ Samira Sayedsalehi³
¹Department of Mathematics, South Tehran Branch, Islamic Azad University, Tehran, Iran.
²Department of Mathematics, Qaemshahr Branch, Islamic Azad University, Qaemshahr, Iran
³Department of Computer Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran
تاریخ دریافت: 06 بهمن 1400، تاریخ بازنگری: 14 اردیبهشت 1401، تاریخ پذیرش: 22 اردیبهشت 1401
چکیده
In traditional optimization models, classical computers have been used to solve mathematical linear or non-linear models. In addition, by data envelopment analysis (DEA) models one can evaluate the relative efficiency of the decision-making units originally in the form of mathematical non-linear models. In this paper, a new attitude is presented in which quantum computers and quantum algorithms can be used to solve DEA models by two different methods. This suggested attitude is worthy to mention as this subject is new and will attract researchers to discuss and improve it.
کلیدواژه‌ها
Data envelopment analysis؛ Non-linear Models؛ Quantum Algorithm؛ Quantum Optimization

مراجع
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Quantum algorithms for solving data envelopment analysis models