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4 October 2024 Designing fast and robust magnetic probabilistic bits: a materials perspective
Pramey Upadhyaya, Shiva Konakanchi
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Proceedings Volume PC13119, Spintronics XVII; PC131190M (2024) https://doi.org/10.1117/12.3030567
Event: Nanoscience + Engineering, 2024, San Diego, California, United States
Abstract
Probabilistic computers, with inherent randomness built into their bits, promise orders of magnitude improvement in efficiency over deterministic computers for solving many complex problems related to natural phenomena and modern society which are inherently probabilistic. In this work we present novel choices of magnetic materials and material parameters to design probabilistic bits (p-bits), the basic building block of a probabilistic computer, with enhanced speed and/or robustness to errors. Through stochastic Landau-Lifshitz-Gilbert (LLG) equation simulations, we study the dynamics of magnetic p-bits as a function of experimentally variable material parameters such as magnetic order (ferromagnetic, ferrimagnetic, and octupole order in noncollinear antiferromagnets), energy barrier, Gilbert damping, saturation magnetization, and volume. We highlight previously unexplored regimes in this parameter space which could lead to orders of magnitude improvement in speed and/or robustness to experimental fluctuations over the state-of-the-art magnetic p-bits. Our work provides direction and guidance to experimentalists in their efforts to build a spintronic probabilistic computer.
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Pramey Upadhyaya and Shiva Konakanchi "Designing fast and robust magnetic probabilistic bits: a materials perspective", Proc. SPIE PC13119, Spintronics XVII, PC131190M (4 October 2024); https://doi.org/10.1117/12.3030567
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KEYWORDS
Magnetism
Bridges
Design
Diffusion
Magnetic tunnel junctions
Molecular bridges
Spintronics
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