| 研究実績の概要 |
Last year we summarized our research results and drafted a review paper on quantum computing and quantum based metaheuristic algorithms for feature subset selection. This year we examined the draft and revisited our research results from the beginning of the project. We found that our results need to be verified by using real quantum computers instead of only simulation experiments. For this purpose we communicated to research facilities in foreign countries. In May 2023, I visited Regensberg University of Applied Science and the laboratory of Prof. Wolfgang Mauerer, Faculty of Computer Science and Mathematics, OTH-Regensberg.
He works in the area of Quantum Computing and we exchanged ideas of how could we use quantum computing in solving feature selection problem and frame a general approach for quantum machine learning. I used the quantum computing facility of the university to run our proposed algorithms in a small scale environment. Ashis Kumar Mandal, one of the research collaborators of this project is visiting University of Saskatchewan from September 2023. He is engaged in using the university's quantum computing facility. We could run small scale programs in check the plausibility and efficiency of our proposed quantum based algorithms for optimal feature subset selection. We are currently compiling our new results to enhance the draft review paper and will submit to a journal.
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