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researcher

Stephen Ragole

7 papers hereh-index 6297 citations18 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author5

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • quant-ph3
  • cond-mat.stat-mech2
  • cond-mat.quant-gas1
  • physics.chem-ph1

identity via Semantic Scholar / OpenAlex

activity
20132021
most citedMachine Learning techniques for state recognition and auto-tuning in quantum dots

106 citations · 276 across the 7 of their papers we have counts for

collaborators
Showing 2018 · quant-phShow all

1 paper · 2 filters

quant-ph2018★ 39 cited

QFlow lite dataset: A machine-learning approach to the charge states in quantum dot experiments

Justyna P. Zwolak, Sandesh S. Kalantre, Xingyao Wu +2

Over the past decade, machine learning techniques have revolutionized how research is done, from designing new materials and predicting their properties to assisting drug discovery…

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