| 研究課題/領域番号 |
20K11939
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| 研究種目 |
基盤研究(C)
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| 配分区分 | 基金 |
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| 応募区分 | 一般 |
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| 審査区分 |
小区分61030:知能情報学関連
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| 研究機関 | 岩手県立大学 |
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研究代表者 |
チャクラボルティ バサビ 岩手県立大学, その他部局等, 特命教授 (90305293)
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| 研究期間 (年度) |
2020-04-01 – 2025-03-31
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| 研究課題ステータス |
交付 (2023年度)
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| 配分額 *注記 |
4,420千円 (直接経費: 3,400千円、間接経費: 1,020千円)
2022年度: 1,300千円 (直接経費: 1,000千円、間接経費: 300千円)
2021年度: 1,430千円 (直接経費: 1,100千円、間接経費: 330千円)
2020年度: 1,690千円 (直接経費: 1,300千円、間接経費: 390千円)
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| キーワード | Feature subset selection / Quantum based algorithm / Quantum optimization / Quantum machine learning / feature selection / metaheuristic algorithm / quantum inspired / feature subset selection / feature selection / optimal feature subset / quantum machine learning |
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| 研究開始時の研究の概要 |
This research is aimed at developing fast and efficient algorithms for finding out the most important feature subset for recognition, classification and mining of big data in the area of business, medical or social media by novel integration of quantum computing with machine learning.
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| 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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| 現在までの達成度 (区分) |
現在までの達成度 (区分)
2: おおむね順調に進展している
理由
Our project progressed smoothly as we planned in the year 2023. We could complete our planned experiments.
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| 今後の研究の推進方策 |
This year we are planning to execute more simulations using quantum computer for data sets containing moderately large number of features. We will compile the results in a paper and submit this paper and the review paper to journal.
I am also planning to attend International conference to communicate our new results.
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