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Quantum Optimization Quantum Machine Learning Quantum State Preparation Representation

Utilizing quantum genetic algorithm with TM to solve DEs

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Authors: Ahmed Hamid Elias, Igor Klebanov, Salah A. Albermany

Year

2022

Paper ID

11832

Status

Peer-reviewed

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~2 min

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Abstract

In this paper a proposed approach to solve the DEs utilizing the TM with quantum Genetic algorithms. The aim of the proposed approach is to use the series functions of form quantum genetic to solve the DEs by decreasing the number of iterations and more increase by utilizing automata more with enhancement of TM.

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This paper contributes to the Quantum Machine Learning research area in the Quantum Articles archive.
It adds a 2022 reference point for readers tracking recent quantum research.
In this paper a proposed approach to solve the DEs utilizing the TM with quantum Genetic algorithms.

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References & Citation Signals

[1] DOI https://doi.org/10.21533/pen.v10.i6.907 [2] Publisher https://doi.org/10.21533/pen.v10.i6.907

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External citation index: OpenAlex citation signal • updated 2026-06-19 12:59:42

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