Sumito Tsunegi

National Institute of Advanced Industrial Science and Technology

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Total Citations

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About

Sumito Tsunegi is a leading researcher in the field of spintronics and neuromorphic computing, with a particular focus on reservoir computing using spintronic oscillators. His work bridges fundamental physics and practical hardware, demonstrating how spin-torque oscillators can serve as efficient, low-power physical reservoirs for temporal data processing. His most-cited paper, "Reservoir Computing Based on Spintronics Technology" (2021), has garnered 14 citations and is a key reference in the emerging area of physical reservoir computing. Tsunegi’s contributions have helped establish spintronic devices as viable candidates for next-generation unconventional computing, offering advantages in speed, energy efficiency, and scalability over traditional electronic approaches. His research is instrumental in advancing the integration of spintronics with machine learning, and his work is frequently cited by researchers exploring hardware implementations of neural networks. Through his innovative experiments and collaborative efforts, Tsunegi continues to shape the future of brain-inspired computing, making him a notable figure for students and researchers interested in the intersection of condensed matter physics and artificial intelligence.