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Design Optimization of Noise Filter Using Quantum Annealer

Okada, Akihisa ; Yoshida, Hiroaki ; Kidono, Kiyosumi ; Matsumori, Tadayoshi ; Takeno, Takanori ; Kadowaki, Tadashi

Access, IEEE, 2023, Vol.11, p.44343-44349

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Título:
Design Optimization of Noise Filter Using Quantum Annealer
Autor: Okada, Akihisa ; Yoshida, Hiroaki ; Kidono, Kiyosumi ; Matsumori, Tadayoshi ; Takeno, Takanori ; Kadowaki, Tadashi
Assuntos: Annealing ; Capacitors ; Combinatorial optimization problem ; Conductors ; Inductors ; Mathematical models ; noise filter ; Optimization ; quadratic unconstrained binary optimization ; Quantum annealing ; Quantum computing
É parte de: Access, IEEE, 2023, Vol.11, p.44343-44349
Descrição: 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 has been 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.
Editor: IEEE
Idioma: Inglês

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