| Budget Amount *help |
¥17,420,000 (Direct Cost: ¥13,400,000、Indirect Cost: ¥4,020,000)
Fiscal Year 2020: ¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2019: ¥5,590,000 (Direct Cost: ¥4,300,000、Indirect Cost: ¥1,290,000)
Fiscal Year 2018: ¥7,540,000 (Direct Cost: ¥5,800,000、Indirect Cost: ¥1,740,000)
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| Outline of Final Research Achievements |
Recently, there has been much interest in the possibility of Ising spin model to solve combinatorial optimization problems. The Ising spin model is a statistical mechanics model of magnetism, and hardware implementations analogous to the Ising spin model have also been proposed. Here we showed that Ising machines can be used for the parameters optimization in experiments by direct mappings of parameters selection, which is one of a "combinatorial optimization problem", onto the Ising Hamiltonian. This study addresses a way of parameters optimization in feedback-controlled electromigration (FCE) method. We applied optimum parameters obtained by the ground-state searches of Ising spin model to FCE experiments. Further, we applied the system for fabrication of Au atomic junctions and gaps. Single-electron transistors (SETs) were also fabricated using the method. Korotzkov-Nazarov model exhibited a reasonable fit with SET properties.
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