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researcher

Diego Alonso-Urquijo

1 paper hereh-index 149 citations2 works total

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author position
  • middle author1

Across the 1 of 1 paper where every author was matched, so the position is known.

fields
  • physics.app-ph1

identity via Semantic Scholar / OpenAlex

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

2 citations · 2 across the 1 of their papers we have counts for

collaborators

1 paper

physics.app-ph2021★ 2 cited

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

Fabian Böhm, Diego Alonso-Urquijo, Guy Verschaffelt +1

Ising machines are a promising non-von-Neumann computational concept for neural network training and combinatorial optimization. However, while various neural networks can be imple…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.