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arXiv · 2301.03733

Design Optimization of Noise Filter using Quantum Annealer

Akihisa Okada·Hiroaki Yoshida·Kiyosumi Kidono·Tadayoshi Matsumori·Takanori Takeno·Tadashi Kadowaki
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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.

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Akihisa Okada, Hiroaki Yoshida, Kiyosumi Kidono, Tadayoshi Matsumori, Takanori Takeno, Tadashi Kadowaki. 2023-01-10. Design Optimization of Noise Filter using Quantum Annealer. https://doi.org/10.1109/access.2023.3271969

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