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Noise-injected analog Ising machines enable ultrafast statistical sampling and machine learning

Engineering and Technology

Noise-injected analog Ising machines enable ultrafast statistical sampling and machine learning

F. Böhm, D. Alonso-urquijo, et al.

Discover how groundbreaking research by Fabian Böhm, Diego Alonso-Urquijo, Guy Verschaffelt, and Guy Van der Sande is revolutionizing neural network training with ultrafast statistical sampling using analog Ising machines. By injecting noise, they achieve impressive accuracy in Boltzmann distribution sampling, significantly outpacing traditional software methods.... show more
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