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- W4315706674 abstract "The use of quantum annealers in black-box optimization to obtain the desired properties of a product with a small number of trials has attracted attention. However, the application of this technique to engineering design problems is still limited. Here, we demonstrate the applicability of black-box optimization with a quantum annealer to the design of electric circuit systems, focusing on $pi$-type noise filters as an example. We develop a framework that uses quantum annealing to find the optimal location of electrical components and conductor paths connecting the components, and confirm that the learning process appropriately works over a number of trials to efficiently search for a design with high performance. The results show the potential applicability of quantum annealing to design problems of electric circuit systems." @default.
- W4315706674 created "2023-01-12" @default.
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- W4315706674 date "2023-01-09" @default.
- W4315706674 modified "2023-09-26" @default.
- W4315706674 title "Design Optimization of Noise Filter using Quantum Annealer" @default.
- W4315706674 doi "https://doi.org/10.48550/arxiv.2301.03733" @default.
- W4315706674 hasPublicationYear "2023" @default.
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