Nature Communications (Oct 2022)

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

  • Fabian Böhm,
  • Diego Alonso-Urquijo,
  • Guy Verschaffelt,
  • Guy Van der Sande

DOI
https://doi.org/10.1038/s41467-022-33441-3
Journal volume & issue
Vol. 13, no. 1
pp. 1 – 13

Abstract

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Ising machines are accelerators for computing difficult optimization problems. In this work, Böhm et al. demonstrate a method that extends their use to perform statistical sampling and machine learning orders-of-magnitudes faster than digital computers.