| Co-Investigator(Kenkyū-buntansha) |
谷井 孝至 早稲田大学, 理工学術院, 教授 (20339708)
大矢 剛嗣 横浜国立大学, 大学院工学研究院, 准教授 (30432066)
河野 行雄 中央大学, 理工学部, 教授 (90334250)
井上 耕治 東北大学, 金属材料研究所, 准教授 (50344718)
清水 康雄 国立研究開発法人物質・材料研究機構, 磁性・スピントロニクス材料研究拠点, NIMS特別研究員 (40581963)
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| Budget Amount *help |
¥43,940,000 (Direct Cost: ¥33,800,000、Indirect Cost: ¥10,140,000)
Fiscal Year 2022: ¥6,500,000 (Direct Cost: ¥5,000,000、Indirect Cost: ¥1,500,000)
Fiscal Year 2021: ¥6,500,000 (Direct Cost: ¥5,000,000、Indirect Cost: ¥1,500,000)
Fiscal Year 2020: ¥9,230,000 (Direct Cost: ¥7,100,000、Indirect Cost: ¥2,130,000)
Fiscal Year 2019: ¥9,360,000 (Direct Cost: ¥7,200,000、Indirect Cost: ¥2,160,000)
Fiscal Year 2018: ¥12,350,000 (Direct Cost: ¥9,500,000、Indirect Cost: ¥2,850,000)
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| Outline of Final Research Achievements |
Due to social needs such as IoT and AI, expectations for non-Von Neumann-type computing represented by brain-type computers have increased. We aimed to create and apply new hardware (devices/circuits) that can process information with ultra-low power consumption even with noise and variations. Specifically, in this research, we conducted (1) diversification of deterministic doping methods, (2) creation and control of new quantum physical properties by this method, and creation of devices and circuits that control their behavior, (3) demonstration of probabilistic information processing and quantum measurement based on the device/circuit. We paved the way for stochastic information processing and quantum metrology applications by advancing the deterministic doping method and demonstrating new quantum physical properties and device demonstrations.
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