Madhavan, A.
(2026),
Metrics for spin-based computing, Nature Reviews Physics, [online], https://doi.org/10.1038/s42254-025-00918-1, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=959671
(Accessed March 27, 2026)
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Metrics for spin-based computing
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Abstract
Spin-based computing is emerging as a powerful approach for energy-efficient and high-performance computation. This review explores key advances in integrating magnetic and spintronic elements, from fundamental components like neurons, synapses, and magnetic probabilistic-bits to broader frameworks such as reservoir computing and magnetic Ising machines. We provide hardware-specific and task-dependent metrics to evaluate the computing performance of spin-based components to compare with those developed for similar computational approaches. Finally, we discuss challenges and future opportunities, highlighting the potential of spin-based computing in next-generation technologies.Citation
Nature Reviews Physics
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Journals
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Keywords
Spintronics, Computing, Metrics, Emerging Technologies
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Created February 27, 2026, Updated March 26, 2026